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--- /dev/null
+++ b/covid_cxnet_dataset/metadata.csv
@@ -0,0 +1,453 @@
+filename,patient_id,sex,age,view,label,pcr_test,survival,location,admission_offset,symptom_offset,also_had_ct,has_fever,has_cough,has_dyspnea,has_diarrhea,spo2,other_symptoms,medical_background,opacification,other,is_bilateral,url
+260.jpg,10,female,68,,COVID-19,positive,,Spain,,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+261.jpg,11,male,47,,COVID-19,positive,,Spain,1,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+262.jpg,11,male,47,,COVID-19,positive,,Spain,4,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+263.jpg,11,male,47,,COVID-19,positive,,Spain,8,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+264.jpg,11,male,47,,COVID-19,positive,,Spain,12,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+265.jpg,12,male,49,,COVID-19,positive,,Spain,1,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+266.jpg,12,male,49,,COVID-19,positive,,Spain,5,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+267.jpg,12,male,49,,COVID-19,positive,,Spain,11,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+268.jpg,13,male,86,,COVID-19,positive,,Spain,1,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+269.jpg,13,male,86,,COVID-19,positive,,Spain,3,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+270.jpg,13,male,86,,COVID-19,positive,,Spain,4,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+271.jpg,13,male,86,,COVID-19,positive,,Spain,8,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+272.jpg,14,male,94,,COVID-19,positive,,Spain,1,,,,,,,,upper gastrointestinal bleeding,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+273.jpg,14,male,94,,COVID-19,positive,,Spain,5,,,,,,,,upper gastrointestinal bleeding,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+274.jpg,15,male,80,,COVID-19,positive,,Spain,,,,,,,,,chest pain,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+275.jpg,16,male,70,,COVID-19,positive,,Spain,1,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+276.jpg,16,male,70,,COVID-19,positive,,Spain,3,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+277.jpg,16,male,70,,COVID-19,positive,,Spain,5,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+278.jpg,16,male,70,,COVID-19,positive,,Spain,7,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+279.jpg,17,female,78,,COVID-19,positive,,Spain,,,,,,,,,hypoxemia,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+280-.jpg,18,male,67,PA,COVID-19,positive,,Spain,1,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+281.jpg,18,male,67,PA,COVID-19,positive,,Spain,7,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+282-.jpg,19,male,76,,COVID-19,positive,,Spain,1,,,,,2,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+283.jpg,19,male,76,,COVID-19,positive,,Spain,3,,,,,2,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+284.jpg,19,male,76,,COVID-19,positive,,Spain,5,,,,,2,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+285.jpg,19,male,76,,COVID-19,positive,,Spain,8,,,,,2,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+286.jpg,20,female,79,,COVID-19,positive,,Spain,1,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+287.jpg,20,female,79,,COVID-19,positive,,Spain,4,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+288.jpg,20,female,79,,COVID-19,positive,,Spain,8,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+289.jpg,21,male,73,,COVID-19,positive,,Spain,1,,,1,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+290.jpg,21,male,73,,COVID-19,positive,,Spain,3,,,1,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+291.jpg,22,female,77,,COVID-19,positive,,Spain,1,,,,,,,,abdominal pain,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+292.jpg,22,female,77,,COVID-19,positive,,Spain,2,,,,,,,,abdominal pain,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+293.jpg,22,female,77,,COVID-19,positive,,Spain,7,,,,,,,,abdominal pain,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+294.jpg,22,female,77,,COVID-19,positive,,Spain,8,,,,,,,,abdominal pain,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+295.jpg,23,female,77,,COVID-19,positive,,Spain,,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+296-.jpg,24,male,44,,COVID-19,positive,,Spain,1,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+297.jpg,24,male,44,,COVID-19,positive,,Spain,4,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+298.jpg,24,male,44,,COVID-19,positive,,Spain,6,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+299.jpg,24,male,44,,COVID-19,positive,,Spain,7,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+300.jpg,24,male,44,,COVID-19,positive,,Spain,8,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+301.jpg,24,male,44,,COVID-19,positive,,Spain,10,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+302.jpg,24,male,44,,COVID-19,positive,,Spain,14,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+303.jpg,24,male,44,,COVID-19,positive,,Spain,17,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+304.jpg,25,male,77,,COVID-19,positive,,Spain,1,,,,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+305.jpg,25,male,77,,COVID-19,positive,,Spain,3,,,,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+306.jpg,26,male,50,,COVID-19,positive,,Spain,1,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+307.jpg,26,male,50,,COVID-19,positive,,Spain,4,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+308.jpg,26,male,50,,COVID-19,positive,,Spain,6,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+309.jpg,26,male,50,,COVID-19,positive,,Spain,8,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+310.jpg,27,male,64,,COVID-19,positive,,Spain,,,,1,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+311.jpg,28,female,67,,COVID-19,positive,,Spain,,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+312.jpg,29,female,58,,COVID-19,positive,,Spain,1,,,,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+313.jpg,29,female,58,,COVID-19,positive,,Spain,4,,,,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+314.jpg,30,male,75,,COVID-19,positive,,Spain,,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+315.jpg,31,male,54,,COVID-19,positive,,Spain,1,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+316.jpg,31,male,54,,COVID-19,positive,,Spain,3,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+317.jpg,32,male,46,,COVID-19,positive,,Spain,,,,,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+318.jpg,33,female,93,,COVID-19,positive,,Spain,,,,,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+319.jpg,34,female,63,,COVID-19,positive,,Spain,1,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+320.jpg,34,female,63,,COVID-19,positive,,Spain,4,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+321.jpg,35,female,42,,COVID-19,positive,,Spain,1,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+322.jpg,35,female,42,,COVID-19,positive,,Spain,2,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+323.jpg,35,female,42,,COVID-19,positive,,Spain,4,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+324.jpg,36,female,76,,COVID-19,positive,,Spain,1,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+325.jpg,36,female,76,,COVID-19,positive,,Spain,1,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+326.jpg,36,female,76,,COVID-19,positive,,Spain,3,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+327.jpg,36,female,76,,COVID-19,positive,,Spain,6,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+328.jpg,37,female,76,,COVID-19,positive,,Spain,1,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+329.jpg,37,female,76,,COVID-19,positive,,Spain,4,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+330.jpg,38,male,41,,COVID-19,positive,,Spain,1,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+331.jpg,38,male,41,,COVID-19,positive,,Spain,2,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+332.jpg,38,male,41,,COVID-19,positive,,Spain,4,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+333.jpg,39,male,77,,COVID-19,positive,,Spain,1,,,,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+334.jpg,39,male,77,,COVID-19,positive,,Spain,2,,,,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+335.jpg,39,male,77,,COVID-19,positive,,Spain,4,,,,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+336.jpg,40,male,76,,COVID-19,positive,,Spain,1,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+337.jpg,40,male,76,,COVID-19,positive,,Spain,4,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+338.jpg,40,male,76,,COVID-19,positive,,Spain,6,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+339.jpg,40,male,76,,COVID-19,positive,,Spain,8,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+340.jpg,41,male,61,,COVID-19,positive,,Spain,,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+341.jpg,42,male,43,,COVID-19,positive,,Spain,,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+342.jpg,43,female,62,,COVID-19,positive,,Spain,,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+343.jpg,44,male,43,,COVID-19,positive,,Spain,,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+344.jpg,45,male,56,,COVID-19,positive,,Spain,,,,,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+345.jpg,46,male,59,,COVID-19,positive,,Spain,,,,,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+346.jpg,47,female,53,PA,COVID-19,positive,,Spain,1,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+347.jpg,47,female,53,,COVID-19,positive,,Spain,2,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+348.jpg,47,female,53,,COVID-19,positive,,Spain,4,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+349.jpg,48,male,41,PA,COVID-19,positive,,Spain,1,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+350.jpg,48,male,41,,COVID-19,positive,,Spain,3,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+351.jpg,48,male,41,,COVID-19,positive,,Spain,4,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+352.jpg,49,male,76,,COVID-19,positive,,Spain,1,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+353.jpg,49,male,76,,COVID-19,positive,,Spain,2,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+354.jpg,49,male,76,,COVID-19,positive,,Spain,3,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+355.jpg,49,male,76,,COVID-19,positive,,Spain,5,,,1,1,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+356.jpg,50,male,83,,COVID-19,positive,,Spain,,,,,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+357.jpg,51,female,45,,COVID-19,positive,,Spain,1,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+358.jpg,51,female,45,,COVID-19,positive,,Spain,1,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+359.jpg,51,female,45,,COVID-19,positive,,Spain,2,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+360.jpg,52,female,64,,COVID-19,positive,,Spain,,,,,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+361.jpg,53,female,62,,COVID-19,positive,,Spain,,,,,,1,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+362.jpg,54,female,58,,COVID-19,positive,,Spain,1,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+363.jpg,54,female,58,,COVID-19,positive,,Spain,2,,,1,,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+364.jfif,55,male,56,,COVID-19,positive,,Spain,1,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+365.jfif,55,male,56,,COVID-19,positive,,Spain,5,,,1,1,,,,,,,,,https://twitter.com/ChestImaging/status/1243928581983670272
+366.jfif,56,male,54,,COVID-19,positive,,Spain,1,,,1,1,,,,,,1,,1,https://twitter.com/ChestImaging/status/1243928581983670272
+367.jfif,56,male,54,,COVID-19,positive,,Spain,5,,,1,1,,,,,,1,,1,https://twitter.com/ChestImaging/status/1243928581983670272
+368.jfif,56,male,54,,COVID-19,positive,,Spain,7,,,1,1,,,,,,1,,1,https://twitter.com/ChestImaging/status/1243928581983670272
+369.jfif,56,male,54,,COVID-19,positive,,Spain,9,,,1,1,,,,,,1,,1,https://twitter.com/ChestImaging/status/1243928581983670272
+370.jfif,57,female,62,,COVID-19,positive,,Spain,,,,,,1,,,,,1,,1,https://twitter.com/ChestImaging/status/1243928581983670272
+371.jfif,58,male,66,,COVID-19,positive,,Spain,,,,1,1,,,,,,1,,0,https://twitter.com/ChestImaging/status/1243928581983670272
+372.jfif,59,male,24,,COVID-19,positive,,Spain,1,,,1,1,,,,,,1,,0,https://twitter.com/ChestImaging/status/1243928581983670272
+373.jfif,59,male,24,,COVID-19,positive,,Spain,4,,,1,1,,,,,,1,,0,https://twitter.com/ChestImaging/status/1243928581983670272
+374.png,60,,,,COVID-19,,,US,,,1,,,,,,,,1,,0,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+375.png,61,,,,COVID-19,,,US,,,1,,,,,,,,1,,0,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+376.png,62,,,,COVID-19,,,US,,,1,,,,,,,,1,,0,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+377.png,63,,,,COVID-19,,,US,,,1,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+378.png,64,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+379.png,65,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+380.png,66,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+381.png,67,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+382.png,68,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+383.png,69,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+384.png,70,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+385.png,71,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+386.png,72,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+387.png,73,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+388.png,74,,,,COVID-19,,,US,,,1,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+389.png,75,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+390.png,76,,,,COVID-19,,,US,,,,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+391.png,77,,,,COVID-19,,,US,4,,,,,,,,,,,,,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+392.png,78,,,,COVID-19,,,US,6,,,,,,,,,,,,,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+393.png,79,,,,COVID-19,,,US,11,,,,,,,,,,,,,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+394.png,80,,,,COVID-19,,,US,,,,,,,,,,,1,diffuse lung opacities,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+395.png,81,,,,COVID-19,,,US,,,,,,,,,,,1,tension pneumothorax,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+396.png,82,,,,COVID-19,,,US,1,,,,,,,,,,,lung nodule,,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+397.png,83,,,,COVID-19,,,US,5,,,,,,,,,,,lung nodule,,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141645/
+400.png,84,male,44,,COVID-19,,0,China,1,13,1,2,2,,,,,,1,,1,https://pubs.rsna.org/doi/full/10.1148/ryct.2020200033
+401.png,84,male,44,,COVID-19,,0,China,2,14,1,2,2,,,,,,1,,1,https://pubs.rsna.org/doi/full/10.1148/ryct.2020200033
+402.png,84,male,44,,COVID-19,,0,China,3,15,1,2,2,,,,,,1,,1,https://pubs.rsna.org/doi/full/10.1148/ryct.2020200033
+403.jpg,100,female,45,,COVID-19,positive,,Pakistan,,,,1,1,1,,75,,,1,,,https://radiopaedia.org/cases/covid-19-pneumonia-101
+404.jfif,101,,,,COVID-19,,,,,,,,,,,,,,,,,https://radiopaedia.org/cases/progression-of-covid-19-pneumonia
+405.jfif,101,,,,COVID-19,,,,,,,,,,,,,,,,,https://radiopaedia.org/cases/progression-of-covid-19-pneumonia
+406.jfif,101,,,,COVID-19,,,,,,,,,,,,,,,,,https://radiopaedia.org/cases/progression-of-covid-19-pneumonia
+407.jfif,101,,,,COVID-19,,,,,,,,,,,,,,,,,https://radiopaedia.org/cases/progression-of-covid-19-pneumonia
+408.jfif,101,,,,COVID-19,,,,,,,,,,,,,,,,,https://radiopaedia.org/cases/progression-of-covid-19-pneumonia
+409.jpeg,102,male,70,AP,COVID-19,,,UK,1,,1,,,1,,,,transplant,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-progressive
+410.jpeg,102,male,70,AP,COVID-19,,,UK,3,,1,,,1,,,,transplant,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-progressive
+411.jpeg,102,male,70,AP,COVID-19,,,UK,6,,1,1,,1,,,,transplant,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-progressive
+414.jpeg,103,male,30,,COVID-19,positive,1,Pakistan,,,0,1,1,1,,,,diabete,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-97
+415.jpeg,104,male,55,AP,COVID-19,,1,UK,1,,0,,,,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-progression-and-regression
+416.jpeg,104,male,55,AP,COVID-19,,1,UK,6,,0,,,,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-progression-and-regression
+417.jpeg,104,male,55,AP,COVID-19,,1,UK,11,,0,,,,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-progression-and-regression
+418.jpeg,104,male,55,AP,COVID-19,,1,UK,13,,0,,,,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-progression-and-regression
+419.jpeg,104,male,55,AP,COVID-19,,1,UK,20,,0,,,,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-progression-and-regression
+420.jpeg,104,male,55,AP,COVID-19,,1,UK,24,,0,,,,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-progression-and-regression
+421.jpg,104,male,55,AP,COVID-19,,1,UK,28,,0,,,,,,,,,,,https://radiopaedia.org/cases/covid-19-pneumonia-progression-and-regression
+422.jpg,105,female,46,,COVID-19,positive,1,Taiwan,1,2,1,1,1,1,,,,,1,,0,https://www.sciencedirect.com/science/article/pii/S1684118220300608
+423.jpg,105,female,46,,COVID-19,positive,1,Taiwan,14,16,1,,,,,,,,0,,0,https://www.sciencedirect.com/science/article/pii/S1684118220300608
+424.png,106,male,94,,COVID-19,positive,0,UK,,,0,1,,,,,"delirium, abdominal pain",schizoaffective ,,,,https://academic.oup.com/ageing/article/49/4/523/5823067
+425.jpg,107,male,56,,COVID-19,positive,1,Italy,1,4,0,1,,,,,,tetraplegia,1,,1,https://www.nature.com/articles/s41394-020-0274-9
+426.jpg,107,male,56,,COVID-19,positive,1,Italy,3,7,0,1,0,1,,,,tetraplegia,1,,1,https://www.nature.com/articles/s41394-020-0274-9
+427.jpg,108,female,63,,COVID-19,positive,1,Italy,1,,0,2,,1,,,,cancer,,pleural effusion,,https://link.springer.com/article/10.1007/s00270-020-02470-0
+428.jpg,108,female,63,,COVID-19,positive,1,Italy,2,,0,1,,1,,,,cancer,,,,https://link.springer.com/article/10.1007/s00270-020-02470-0
+429.jpeg,109,male,50,AP,COVID-19,,,UK,,,0,,,1,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-serial-radiographs-1
+430.jpeg,109,male,50,AP,COVID-19,,,UK,,,0,,,1,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-serial-radiographs-1
+431.jpeg,109,male,50,AP,COVID-19,,,UK,,,0,,,1,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-serial-radiographs-1
+432.png,109,male,50,,COVID-19,,,UK,,,0,,,1,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-serial-radiographs-1
+433.png,109,male,50,,COVID-19,,,UK,,,0,,,1,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-serial-radiographs-1
+434.jpeg,110,male,45,PA,COVID-19,positive,,Turkey,,,1,1,1,1,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-93?lang=gb
+435.jpg,111,male,58,AP,COVID-19,positive,,Greece,1,5,1,1,1,2,,,"sore throat, hypoxemia",chronic sinusitis,1,,1,https://eurorad.org/case/16744
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+437.jpg,112,male,48,AP,COVID-19,,1,Austria,4,8,0,1,1,,,,"dysosmia, anosmia",,1,,1,https://www.eurorad.org/case/16747
+438.jpg,112,male,48,,COVID-19,,1,Austria,11,15,0,,,,,,,,0,,,https://www.eurorad.org/case/16747
+439-.png,113,male,27,,COVID-19,positive,,Italy,,,1,1,,,,,,,0,,,https://www.eurorad.org/case/16745
+440-.png,114,male,39,,COVID-19,positive,,Italy,,3,1,1,1,,,,,,0,,,https://www.eurorad.org/case/16745
+441.png,115,female,43,,COVID-19,positive,,Italy,,6,1,,1,,,,,,1,,1,https://www.eurorad.org/case/16745
+442.png,116,male,46,,COVID-19,positive,,Italy,,8,1,1,1,,,,,,,,,https://www.eurorad.org/case/16745
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+444.png,118,female,38,,COVID-19,negative,,Italy,,11,1,1,1,1,,,,,1,,1,https://www.eurorad.org/case/16745
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+446p.jpg,120,female,7,,COVID-19,positive,,Pakistan,,,0,1,1,2,,,flu,,1,,1,http://pjms.org.pk/index.php/pjms/article/view/2778
+447.jpg,121,male,56,,COVID-19,positive,,Pakistan,,2,0,2,1,,,,sore throat,,1,,1,http://pjms.org.pk/index.php/pjms/article/view/2778
+448.jpg,122,female,59,AP,COVID-19,positive,0,US,1,3,0,1,1,1,1,92,"myalgia, fatigue",nonischemic cardiomyopathy,1,,1,https://onlinelibrary.wiley.com/doi/full/10.1111/ajt.15982
+449.jpg,122,female,59,AP,COVID-19,positive,0,US,4,6,0,1,1,1,1,,"myalgia, fatigue",nonischemic cardiomyopathy,1,,1,https://onlinelibrary.wiley.com/doi/full/10.1111/ajt.15982
+450.jpg,123,male,75,AP,COVID-19,positive,1,US,1,4,0,1,1,,1,99,"fatigue, lack of appetite",ischemic cardiomyopathy,1,,0,https://onlinelibrary.wiley.com/doi/full/10.1111/ajt.15982
+451.jpg,123,male,75,AP,COVID-19,positive,1,US,4,7,0,1,1,,1,85,"fatigue, lack of appetite",ischemic cardiomyopathy,1,,,https://onlinelibrary.wiley.com/doi/full/10.1111/ajt.15982
+452.jpg,124,male,77,,COVID-19,positive,,Italy,,5,1,,1,1,,,abdominal pain,,,,,https://www.sirm.org/2020/05/12/covid-19-caso-72/
+453.png,125,male,83,AP,COVID-19,positive,,Italy,,3,1,1,1,,,92,,"arterial hypertension, diabetes, ",1,,1,https://www.sirm.org/2020/05/12/covid-19-caso-76/
+454.png,126,female,49,,COVID-19,positive,1,Italy,,7,1,2,1,,,85,anosmia,,1,,1,https://www.sirm.org/2020/05/14/covid-19-caso-82/
+455p.jpg,127,male,1.5,AP,COVID-19,,1,Italy,,,0,1,1,1,,94,,,1,,1,https://www.sirm.org/2020/05/14/covid-19-caso-83/
+456.png,128,female,47,AP,COVID-19,positive,,Italy,1,,1,1,,1,,,,"hypertension, obesity",,,,https://www.sirm.org/2020/05/14/covid-19-caso-85/
+457.png,128,female,47,AP,COVID-19,positive,,Italy,1,,1,1,,1,,,,"hypertension, obesity",,,,https://www.sirm.org/2020/05/14/covid-19-caso-85/
+458.png,128,female,47,AP,COVID-19,positive,,Italy,4,,1,2,,2,,,,"hypertension, obesity",,,,https://www.sirm.org/2020/05/14/covid-19-caso-85/
+459.jfif,129,,,AP,COVID-19,positive,0,Canada,,,0,,,,,,,,1,,1,https://app.figure1.com/images/5eaafd9d465f040606503ef2
+460.jfif,129,,,AP,COVID-19,positive,0,Canada,,,0,,,,,,,,1,,1,https://app.figure1.com/images/5eaafd9d465f040606503ef2
+461-.jpg,130,male,37,PA,COVID-19,positive,1,Italy,,2,1,1,1,,,99,,,0,,,https://www.sciencedirect.com/science/article/pii/S1078817420300699
+462-.jpg,131,female,37,PA,COVID-19,positive,1,Italy,,4,1,1,1,,,99,,,0,,,https://www.sciencedirect.com/science/article/pii/S1078817420300699
+463-.jpg,132,female,33,PA,COVID-19,positive,1,Italy,,4,1,1,1,,,99,,,0,,,https://www.sciencedirect.com/science/article/pii/S1078817420300699
+464-.jpg,133,female,56,PA,COVID-19,positive,1,Italy,,4,1,1,1,1,,98,chest pain,,0,,,https://www.sciencedirect.com/science/article/pii/S1078817420300699
+465.webp,134,female,99,,COVID-19,negative,1,Italy,1,3,0,1,1,1,,90.6,"chest pain, fatigue","hypertension, coronary artery disease",,,,https://link.springer.com/article/10.1007/s11739-020-02362-8
+466.jpg,135,male,38,AP,COVID-19,positive,,UK,1,7,0,1,1,1,,,,,1,,1,https://www.sciencedirect.com/science/article/pii/S2049080120300996
+467.jpg,135,male,38,AP,COVID-19,positive,,UK,6,12,0,1,1,2,,,,,1,,1,https://www.sciencedirect.com/science/article/pii/S2049080120300996
+468.jpg,136,male,30,AP,COVID-19,positive,1,Pakistan,1,7,0,2,,1,,,chills,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-92
+469.jpg,136,male,30,AP,COVID-19,positive,1,Pakistan,6,7,0,2,,1,,,chills,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-92
+470.jpg,136,male,30,AP,COVID-19,positive,1,Pakistan,6,7,0,2,,1,,,chills,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-92
+471.jpeg,137,female,65,AP,COVID-19,positive,1,UK,1,,0,,,1,,,myalgia,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-radiological-resolution
+472.jpg,138,,,,COVID-19,positive,,US,,,0,,,,,,,,1,,0,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217591/
+473.jpg,139,,,,COVID-19,positive,,US,,,0,,,,,,,,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217591/
+474.jpg,140,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://europepmc.org/article/med/32404797
+475.jpg,141,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,0,https://europepmc.org/article/med/32404797
+476.jpg,142,female,69,,COVID-19,positive,1,Italy,1,,1,,1,1,,,,,1,,1,https://www.ajtmh.org/view/journals/tpmd/103/1/article-p6.xml
+477.jpg,142,female,69,,COVID-19,positive,1,Italy,14,,1,,1,1,,,,,1,,1,https://www.ajtmh.org/view/journals/tpmd/103/1/article-p6.xml
+478.jpg,142,female,69,,COVID-19,positive,1,Italy,25,,1,,,,,,,,,,,https://www.ajtmh.org/view/journals/tpmd/103/1/article-p6.xml
+479.jpg,143,male,78,AP,COVID-19,positive,,Italy,1,3,1,1,1,,,92,,"diabete, obesity, hypertension, psoriasis",1,,1,https://www.sirm.org/2020/05/20/covid-19-caso-86/
+480.jpg,143,male,78,AP,COVID-19,positive,,Italy,7,9,1,1,1,,,,,"diabete, obesity, hypertension, psoriasis",1,,1,https://www.sirm.org/2020/05/20/covid-19-caso-86/
+481p-.jpg,144,male,6,AP,COVID-19,positive,,Italy,,5,0,1,,,,,,,1,,1,https://www.sirm.org/2020/05/20/covid-19-caso-87/
+482p-.jpg,145,male,0.25,AP,COVID-19,positive,,Italy,,,0,1,1,,,100,,,1,,1,https://www.sirm.org/2020/05/20/covid-19-caso-88/
+483.png,146,female,78,PA,COVID-19,negative,1,Italy,6,,1,1,,,,,,,1,,0,https://www.sirm.org/2020/05/20/covid-19-caso-91/
+484p.png,147,male,0.1,AP,COVID-19,positive,1,Italy,1,,0,,,,,100,,,1,,,https://www.sirm.org/2020/05/20/covid-19-caso-92-mini-review-pediatrica/
+485-.png,148,female,17,AP,COVID-19,positive,1,Italy,,,0,1,1,,1,100,asthenia,,0,,,https://www.sirm.org/2020/05/20/covid-19-caso-92-mini-review-pediatrica/
+486p.png,149,male,13,AP,COVID-19,positive,1,Italy,,,0,1,,,,99,"pharyngodynia, dysphagia",,,,,https://www.sirm.org/2020/05/20/covid-19-caso-92-mini-review-pediatrica/
+487.png,150,male,17,AP,COVID-19,positive,1,Italy,,,0,1,1,1,,98,chest pain,,1,,0,https://www.sirm.org/2020/05/20/covid-19-caso-92-mini-review-pediatrica/
+488p.png,151,male,0.1,AP,COVID-19,positive,1,Italy,,,0,1,,,,100,UTI,,0,,,https://www.sirm.org/2020/05/20/covid-19-caso-92-mini-review-pediatrica/
+489.png,152,female,64,AP,COVID-19,positive,,Italy,,7,1,2,1,1,,,,hiatal hernia,1,,1,https://www.sirm.org/2020/05/20/covid-19-caso-94/
+490-.png,153,female,39,PA,COVID-19,positive,1,Italy,1,,1,1,1,,,,asthenia,,0,,,https://www.sirm.org/2020/05/20/covid-19-caso-95/
+491-.png,153,female,39,PA,COVID-19,positive,1,Italy,11,,1,1,1,,,,asthenia,,0,,,https://www.sirm.org/2020/05/20/covid-19-caso-95/
+492.png,154,male,75,AP,COVID-19,positive,1,Italy,,3,,1,1,1,,89,,,1,,1,https://www.sirm.org/2020/05/20/covid-19-caso-99/
+493.jpg,155,female,65,AP,COVID-19,positive,0,Thailand,1,,0,1,,1,,,,,1,,0,https://he01.tci-thaijo.org/index.php/jnkp/article/view/241976/164804
+494.jpg,155,female,65,AP,COVID-19,positive,0,Thailand,3,,0,1,,1,,,,,1,,1,https://he01.tci-thaijo.org/index.php/jnkp/article/view/241976/164804
+495.jpg,155,female,65,AP,COVID-19,positive,0,Thailand,7,,0,1,,1,,,,,1,,1,https://he01.tci-thaijo.org/index.php/jnkp/article/view/241976/164804
+496.jpg,155,female,65,AP,COVID-19,positive,0,Thailand,14,,0,1,,1,,,,,1,,1,https://he01.tci-thaijo.org/index.php/jnkp/article/view/241976/164804
+497.jpg,156,female,65,PA,COVID-19,positive,,Thailand,,,0,1,,1,,,,,1,,0,https://he01.tci-thaijo.org/index.php/jnkp/article/view/241976/164804
+498.jpg,157,male,23,PA,COVID-19,positive,,Thailand,,,0,,,,,,,,1,,0,https://he01.tci-thaijo.org/index.php/jnkp/article/view/241976/164804
+499.jpg,158,male,72,PA,COVID-19,positive,,Thailand,,,0,,,,,,,,1,,1,https://he01.tci-thaijo.org/index.php/jnkp/article/view/241976/164804
+500.jpg,159,male,52,PA,COVID-19,positive,,Thailand,,,0,,,,,,,,1,,1,https://he01.tci-thaijo.org/index.php/jnkp/article/view/241976/164804
+501.jpg,160,,,,COVID-19,positive,,Russia,,,0,,,,,,,,1,,1,https://doi.org/10.20862/0042-4676-2020-101-2-72-89
+502.jpg,161,,,,COVID-19,positive,,Russia,,,0,,,,,,,,1,,1,https://doi.org/10.20862/0042-4676-2020-101-2-72-89
+503.jpg,162,,,,COVID-19,positive,,Russia,,,0,,,,,,,,1,,1,https://doi.org/10.20862/0042-4676-2020-101-2-72-89
+504-.jpg,163,,,,COVID-19,positive,,Russia,,,0,,,,,,,,0,,,https://doi.org/10.20862/0042-4676-2020-101-2-72-89
+505.jpg,164,male,65,AP,COVID-19,positive,0,Germany,1,,0,1,1,1,,92,body ache,"coronary heart disease, myocardial infarction, diabetes, hypertension, hyperlipidaemia",1,,1,https://ncbi.nlm.nih.gov/pmc/articles/PMC7235975/
+506.webp,165,male,55,,COVID-19,negative,,Guatemala,,7,0,1,,1,,,anosmia,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-130
+507.webp,166,male,25,,COVID-19,positive,,Guatemala,,,0,1,1,2,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-131
+508.jpeg,167,male,30,AP,COVID-19,positive,1,Pakistan,1,7,0,2,,1,,,chills,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-92
+509.jpeg,167,male,30,AP,COVID-19,positive,1,Pakistan,7,13,0,2,,1,,,chills,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-92
+674.jpg,168,female,68,AP,COVID-19,positive,1,UK,1,7,0,,,,,92,facial pain,"kidney disease, dental abscess",1,,1,https://doi.org/10.1016/j.idcr.2020.e00834
+675.jpg,168,female,68,AP,COVID-19,positive,1,UK,3,9,0,,,,,80,,"kidney disease, dental abscess",1,,1,https://doi.org/10.1016/j.idcr.2020.e00834
+676.jpg,168,female,68,AP,COVID-19,positive,1,UK,8,14,0,,,,,,,"kidney disease, dental abscess",1,,1,https://doi.org/10.1016/j.idcr.2020.e00834
+677.jpg,168,female,68,AP,COVID-19,positive,1,UK,9,15,0,,,,,,,"kidney disease, dental abscess",1,,1,https://doi.org/10.1016/j.idcr.2020.e00834
+678.jpg,168,female,68,AP,COVID-19,positive,1,UK,12,18,0,,,,,,,"kidney disease, dental abscess",1,,1,https://doi.org/10.1016/j.idcr.2020.e00834
+679.jpg,168,female,68,AP,COVID-19,positive,1,UK,15,21,0,,,,,,,"kidney disease, dental abscess",1,,1,https://doi.org/10.1016/j.idcr.2020.e00834
+680.jpg,168,female,68,AP,COVID-19,positive,1,UK,18,24,0,,,,,,,"kidney disease, dental abscess",1,,1,https://doi.org/10.1016/j.idcr.2020.e00834
+681.jpg,168,female,68,AP,COVID-19,negative,1,UK,22,28,0,,,,,,,"kidney disease, dental abscess",1,,1,https://doi.org/10.1016/j.idcr.2020.e00834
+682.jpg,168,female,68,AP,COVID-19,negative,1,UK,27,33,0,,,,,,,"kidney disease, dental abscess",1,,1,https://doi.org/10.1016/j.idcr.2020.e00834
+683.jpg,168,female,68,AP,COVID-19,negative,1,UK,30,36,0,,,,,,,"kidney disease, dental abscess",1,,1,https://doi.org/10.1016/j.idcr.2020.e00834
+684.jpg,168,female,68,AP,COVID-19,negative,1,UK,33,39,0,,,,,,,"kidney disease, dental abscess",1,,1,https://doi.org/10.1016/j.idcr.2020.e00834
+685.jpg,168,female,68,AP,COVID-19,negative,1,UK,41,47,0,,,,,,,"kidney disease, dental abscess",0,,,https://doi.org/10.1016/j.idcr.2020.e00834
+707-.jpg,169,male,47,AP,COVID-19,negative,,Italy,1,5,1,2,1,,,99,,,0,,,https://www.eurorad.org/case/16755
+708.jpg,169,male,47,AP,COVID-19,positive,,Italy,4,8,1,2,1,,,,,,1,,1,https://www.eurorad.org/case/16755
+709.jpg,170,male,70,AP,COVID-19,positive,0,Italy,,,1,2,,1,,,,"hepatosplenomegaly, anemia",1,,1,https://link.springer.com/article/10.1007/s00277-020-04098-z
+710.png,171,male,43,,COVID-19,positive,1,Spain,,14,0,1,1,,,91,hemoptysis,,1,,1,https://academic.oup.com/ehjcr/article/4/FI1/1/5843429
+711.jpeg,172,male,55,AP,COVID-19,positive,,US,1,,1,,,,,,,,1,,1,https://www.nejm.org/doi/10.1056/NEJMoa2004500
+712.jpeg,172,male,55,AP,COVID-19,positive,,US,2,,1,,,,,,,,1,,1,https://www.nejm.org/doi/10.1056/NEJMoa2004500
+713.jpg,173,,,AP,COVID-19,positive,,US,,,1,,,,,,,,1,,1,https://www.degruyter.com/document/doi/10.1515/dx-2020-0046/html
+714.jpg,174,,,AP,COVID-19,positive,,Taiwan,,,0,,,,,,,,1,,1,https://ccforum.biomedcentral.com/articles/10.1186/s13054-020-02973-9
+715.png,175,male,57,AP,COVID-19,positive,1,Italy,,7,1,1,1,1,,85,,"hypertension, dyslipidemia",1,,1,https://www.sirm.org/2020/05/31/covid-19-caso-111/
+716.png,176,male,70,AP,COVID-19,positive,,Italy,1,4,1,2,1,1,,80,chest pain,"cancer, carotid atheromas",1,,1,https://www.sirm.org/2020/05/31/covid-19-caso-112/
+717.png,176,male,70,AP,COVID-19,positive,,Italy,6,9,1,2,1,1,,80,chest pain,"cancer, carotid atheromas",1,,1,https://www.sirm.org/2020/05/31/covid-19-caso-112/
+718.jpg,177,male,78,,COVID-19,positive,,Italy,,2,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007%2Fs00330-020-06967-7
+719.jpg,178,male,79,,COVID-19,positive,,Italy,,4,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007%2Fs00330-020-06967-7
+720.jpg,179,female,60,,COVID-19,positive,,Italy,,8,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007%2Fs00330-020-06967-7
+721.jpg,180,female,61,,COVID-19,positive,,Italy,,10,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007%2Fs00330-020-06967-7
+722.png,181,male,49,AP,COVID-19,positive,,US,,5,1,2,1,1,,94,"myalgia, tiredness, chills, muscle aches","hypertension, hyperlipidemia, pre-diabetes",1,,1,https://doi.org/10.7759/cureus.7473
+723.jpg,182,male,80,AP,COVID-19,positive,,US,1,14,0,,1,1,,90,"fatigue, confusion, sore throat, chills","hypertension, kidney disease, coronary artery disease",1,,0,https://doi.org/10.7759/cureus.7482
+724.jpg,182,male,80,,COVID-19,positive,,US,2,15,0,2,1,1,,,"fatigue, confusion, sore throat, chills, tachycardia, hypoxemia","hypertension, kidney disease, coronary artery disease",1,,1,https://doi.org/10.7759/cureus.7482
+725.jpg,183,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://www.researchsquare.com/article/rs-32480/v1
+726.jpg,184,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://www.researchsquare.com/article/rs-32480/v1
+727.jpg,185,,,PA,COVID-19,positive,,Italy,,,0,,,,,,,,1,,0,https://www.researchsquare.com/article/rs-32480/v1
+728.jpg,186,,,AP,COVID-19,positive,,Italy,1,,0,,,,,,,,1,,0,https://www.researchsquare.com/article/rs-32480/v1
+729.jpg,186,,,AP,COVID-19,positive,,Italy,5,,0,,,,,,,,1,,1,https://www.researchsquare.com/article/rs-32480/v1
+730-.jpg,187,female,54,AP,COVID-19,positive,,Italy,,,1,,,,,,,,0,,,https://www.researchsquare.com/article/rs-32480/v1
+731.jpg,188,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://www.researchsquare.com/article/rs-32480/v1
+732.jpg,189,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://www.researchsquare.com/article/rs-32480/v1
+733.jpg,190,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://www.researchsquare.com/article/rs-32480/v1
+734.jpg,191,male,68,AP,COVID-19,positive,,India,,5,0,1,1,1,,,"hypoxemia, vomit",,1,,1,https://dx.doi.org/10.2139/ssrn.3588540
+735.jpg,192,female,64,AP,COVID-19,positive,,India,,7,0,1,1,1,,,drowsiness,,1,,1,https://dx.doi.org/10.2139/ssrn.3588540
+736.jpg,193,female,52,AP,COVID-19,positive,,India,,3,0,1,1,1,,,drowsiness,,1,,1,https://dx.doi.org/10.2139/ssrn.3588540
+737.jpg,194,male,60,AP,COVID-19,positive,,India,,,0,1,1,,,,,,0,,,https://dx.doi.org/10.2139/ssrn.3588540
+738.jpg,195,male,55,PA,COVID-19,positive,,India,,,0,1,1,,,,,,1,,1,https://dx.doi.org/10.2139/ssrn.3588540
+739.jpg,196,male,51,PA,COVID-19,positive,1,Indonesia,10,,1,1,1,1,1,97,,"hypertension, diabetes, dyslipidemia, hyperuricemia",1,,,https://onlinelibrary.wiley.com/doi/full/10.1111/jdv.16622
+740.jpeg,197,female,50,AP,COVID-19,,,UK,,,1,,,2,,,,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-108
+741.png,198,,81,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+742.png,199,,81,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+743.png,200,,81,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+744.png,201,,81,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+745.png,202,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+746.png,203,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+747.png,204,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+748.png,205,male,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+749.png,206,male,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+750.png,207,male,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+751.png,208,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,0,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+752.png,209,,,AP,COVID-19,positive,,Italy,,,0,,,,,,,,1,,1,https://link.springer.com/article/10.1007/s11547-020-01232-9#ref-CR10
+753.jpg,210,male,64,AP,COVID-19,positive,1,Egypt,,3,0,0,0,0,0,,hiccups,,1,,1,https://www.researchsquare.com/article/rs-34617/v1
+754.png,211,male,57,AP,COVID-19,positive,1,US,2,,0,,1,1,,,,,1,,1,https://doi.org/10.1093/ehjci/jeaa181
+755.png,212,male,69,AP,COVID-19,positive,1,Japan,,6,1,1,2,1,,,,diabetes,1,,0,https://doi.org/10.1007/s13730-020-00495-5
+756.jpg,213,male,28,AP,,negative,,Austria,,,0,1,1,2,,72,headache,,1,,1,https://dx.doi.org/10.1016%2FS1473-3099(20)30468-0
+757p.jpg,214,male,0.03,AP,COVID-19,positive,1,US,1,,0,0,0,0,0,90,,,1,,1,https://dx.doi.org/10.1093%2Fjpids%2Fpiaa064
+758p.jpg,214,male,0.03,AP,COVID-19,positive,1,US,1,,0,0,0,0,0,99,,,1,,1,https://dx.doi.org/10.1093%2Fjpids%2Fpiaa064
+759.jpeg,215,male,50,,COVID-19,positive,,Saudi Arabia,,14,1,2,1,2,,,"myalgia, ageusia",,1,,0,https://radiopaedia.org/cases/covid-19-pneumonia-103?lang=us
+760.jpg,216,male,57,,COVID-19,negative,,Portugal,,14,1,1,1,2,,,,,1,,1,https://www.eurorad.org/case/16832
+761.jpg,217,male,74,,COVID-19,positive,,Spain,1,,1,1,1,1,,89,tachypnea,"hypertension, diabetes",1,,0,https://www.eurorad.org/case/16844
+762.jpg,217,male,74,,COVID-19,positive,,Spain,18,,1,1,1,1,,89,tachypnea,"hypertension, diabetes",1,"pneumothorax, pneumomediastinum",0,https://www.eurorad.org/case/16844
+763.jpg,218,female,38,AP,COVID-19,positive,1,Spain,5,11,0,2,1,,,96,"arthalgia, malaise",,1,,1,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319919/
+764-.jpg,218,female,38,PA,COVID-19,positive,1,Spain,20,36,0,,,,,,,,0,,,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319919/
+765.jpg,219,female,36,AP,COVID-19,,,UK,,7,1,1,1,1,,92,"chest pain, tachypnea, tachycardia",asthma,1,pulmonary embolism,1,http://www.academia.edu/download/63760191/D190611192220200627-29892-1ktk8cp.pdf
+766p.jpg,220,female,5,,COVID-19,positive,0,Italy,,,0,2,,1,,,rhinorrhea,mucolipidosis,1,ARDS,1,https://doi.org/10.1111/jpc.14994
+767.jpg,221,male,28,AP,COVID-19,positive,,Finland,,9,,,,,,,,,1,,1,https://www.medrxiv.org/content/10.1101/2020.06.29.20140632v1
+768.jpg,221,female,51,AP,COVID-19,positive,,Finland,,13,,,,,,,,,1,,1,https://www.medrxiv.org/content/10.1101/2020.06.29.20140632v1
+769.jpg,221,male,68,AP,COVID-19,positive,,Finland,,3,,,,,,,,,1,,1,https://www.medrxiv.org/content/10.1101/2020.06.29.20140632v1
+770.png,222,male,44,,COVID-19,positive,1,US,1,4,1,1,,1,1,95,"headache, fatigue, myalgia, nausea, tachycardia, hypotension","colon cancer, mild obesity",1,ARDS,1,https://www.karger.com/Article/FullText/509507
+771.png,222,male,44,,COVID-19,negative,1,US,2,5,1,0,,,,,,"colon cancer, mild obesity",,ARDS,,https://www.karger.com/Article/FullText/509507
+772.png,223,female,,,COVID-19,,,Denmark,,,,,,,,,,,1,,,https://doi.org/10.3390/diagnostics10070447
+773.jpg,224,male,61,PA,COVID-19,positive,,UK,1,7,1,,,2,,,,,1,,1,https://erj.ersjournals.com/content/early/2020/06/25/13993003.01809-2020
+774.jpg,224,male,61,,COVID-19,positive,,UK,30,37,1,,,,,,,,1,,1,https://erj.ersjournals.com/content/early/2020/06/25/13993003.01809-2020
+775p.jpg,225,female,7,,COVID-19,,,Turkey,,,,0,0,1,0,85,"chest pain, fatigue","cardiomyopathy, chronic lung disease",1,cardiomegaly,0,https://www.indianpediatrics.net/june2020/june-577-578.htm
+776.png,226,male,50,AP,COVID-19,positive,,US,1,,1,,2,1,,,"myalgia, nausea",obesity,1,mycoplasma pneumoniae,1,https://www.eurorad.org/case/16858
+777.png,226,male,50,AP,COVID-19,positive,,US,2,,1,,2,1,,,"myalgia, nausea",obesity,1,mycoplasma pneumoniae,1,https://www.eurorad.org/case/16858
+778.jpg,227,male,25,PA,COVID-19,positive,,Spain,,3,1,1,,,,,"odynophagia, myalgia, malaise",,1,,0,https://www.eurorad.org/case/16865
+779.jpg,228,female,74,,COVID-19,negative,,Spain,,3,1,1,,1,,,asthenia,,1,pulmonary embolism,1,https://www.eurorad.org/case/16866
+780.png,229,male,71,AP,COVID-19,positive,,US,,7,1,1,1,1,,,myalgia,,1,,1,https://www.eurorad.org/case/16883
+781.jpg,230,male,37,,COVID-19,positive,1,US,1,4,1,,1,1,,,,,1,,1,https://doi-org.cyber.usask.ca/10.4269/ajtmh.20-0736
+782.jpg,230,male,37,,COVID-19,positive,1,US,17,21,1,,,1,,,chest pain,,,pneumothorax,,https://doi-org.cyber.usask.ca/10.4269/ajtmh.20-0736
+783.jpg,230,male,37,,COVID-19,positive,1,US,17,21,1,,,1,,,chest pain,,,pneumothorax,,https://doi-org.cyber.usask.ca/10.4269/ajtmh.20-0736
+784.png,231,male,47,AP,COVID-19,,,US,,7,1,1,,,,,"nausea, vomiting, epigastric pain",,1,,,https://www.eurorad.org/case/16892
+785p.png,232,male,1,,COVID-19,positive,1,Iran,,10,1,0,0,1,,82,cyanosis,,1,,1,https://dx.doi.org/10.5812/ijp.103807
+786.jpg,233,male,50,AP,COVID-19,,,Pakistan,,,1,1,1,1,,,,,1,pneumomediastinum,1,https://radiopaedia.org/cases/covid-19-pneumonia-with-pneumomediastinum-and-extensive-subcutaneous-emphysema?lang=us
+787.jpeg,234,male,55,,COVID-19,positive,,Saudi Arabia,,,1,1,0,0,1,,abdominal pain,,1,,1,https://radiopaedia.org/cases/covid-19-pneumonia-139
+788.jpeg,235,male,70,AP,COVID-19,,1,UK,1,,1,,,1,,,,,1,,1,https://radiopaedia.org/cases/covid-pneumonia-and-recovery
+789.jpeg,235,male,70,AP,COVID-19,,1,UK,3,,1,,,1,,,,,1,,1,https://radiopaedia.org/cases/covid-pneumonia-and-recovery
+790.jpeg,235,male,70,AP,COVID-19,,1,UK,6,,1,,,1,,,,,1,,1,https://radiopaedia.org/cases/covid-pneumonia-and-recovery
+791-.jpeg,235,male,70,,COVID-19,,1,UK,80,,1,,,,,,,,,,,https://radiopaedia.org/cases/covid-pneumonia-and-recovery
+792.jpg,236,male,65,AP,COVID-19,,,Spain,,5,1,1,1,1,,,,"hypertension, dyslipidemia",1,pulmonary embolism,1,https://www.eurorad.org/case/16895
+793-.jpg,237,male,19,,COVID-19,positive,,Turkey,,,1,1,1,,,,,,1,,0,https://www.eurorad.org/case/16903
+794.jpg,238,male,51,AP,COVID-19,positive,,US,,,1,,,,,86,,AIDS,1,,1,https://dx.doi.org/10.1002%2Fjmv.26255
+795.jpg,239,male,20,AP,COVID-19,positive,1,UK,1,,1,1,1,,,,,asthma,1,pulmonary embolism,1,https://www.eurorad.org/case/16953
+796.jpg,239,male,20,PA,COVID-19,positive,1,UK,1,,1,1,1,,,,,asthma,1,pulmonary embolism,1,https://www.eurorad.org/case/16953
+797.jpg,239,male,20,PA,COVID-19,positive,1,UK,21,,1,,,,,,,asthma,1,pulmonary embolism,,https://www.eurorad.org/case/16953
+798.jpg,239,male,20,,COVID-19,positive,1,UK,42,,1,,,,,,,asthma,1,"atelectasis, pulmonary embolism",,https://www.eurorad.org/case/16953
+799.png,240,,,,COVID-19,positive,,Pakistan,,,0,0,0,0,0,,,,1,,,http://www.annalskemu.org/journal/index.php/annals/article/view/3748
+800.jpg,241,female,61,AP,COVID-19,positive,1,UK,1,14,0,1,1,1,,,fatigue,chronic lymphocyctic leukaemia,1,,1,https://doi.org/10.1111/ijlh.13307
+801.jpg,241,female,61,AP,COVID-19,positive,1,UK,3,16,0,,,,,,,chronic lymphocyctic leukaemia,1,,1,https://doi.org/10.1111/ijlh.13307
+802.jpg,241,female,61,AP,COVID-19,positive,1,UK,14,27,0,,,,,,,chronic lymphocyctic leukaemia,1,,1,https://doi.org/10.1111/ijlh.13307
+803.jpg,241,female,61,AP,COVID-19,positive,1,UK,21,34,0,,,,,,,chronic lymphocyctic leukaemia,1,,1,https://doi.org/10.1111/ijlh.13307
+804.png,242,male,37,,COVID-19,positive,1,Japan,,8,1,1,,1,,,ageusia,,1,,1,https://link.springer.com/article/10.1007/s11239-020-02248-8
+805.png,243,male,60,,COVID-19,positive,0,Indonesia,1,14,0,1,1,,,,"running nose, sore throat",diabetes,1,,1,https://doi.org/10.21203/rs.3.rs-58296/v1
+806.png,243,male,60,,COVID-19,positive,0,Indonesia,3,17,0,,,,,,,diabetes,,,,https://doi.org/10.21203/rs.3.rs-58296/v1
+807.png,243,male,60,,COVID-19,positive,0,Indonesia,8,25,0,,,,,,,diabetes,,,,https://doi.org/10.21203/rs.3.rs-58296/v1
+808-.png,244,female,40,,COVID-19,positive,,Korea,,5,1,1,0,0,,,sore throat,,0,,0,https://doi.org/10.3904/kjim.2020.180
+809-.png,245,male,60,,COVID-19,positive,,Korea,8,9,1,1,1,,,,"chills, myalgia",,1,,0,https://doi.org/10.3904/kjim.2020.180
+810.png,245,male,60,,COVID-19,positive,,Korea,13,14,1,1,1,,,,"chills, myalgia",,1,,1,https://doi.org/10.3904/kjim.2020.180
+811-.png,246,male,85,,COVID-19,positive,,Korea,1,,1,,,2,,,,,,,,https://doi.org/10.3904/kjim.2020.180
+812-.png,246,male,85,,COVID-19,positive,,Korea,5,,1,,,2,,,,,,,,https://doi.org/10.3904/kjim.2020.180
+813.png,246,male,85,,COVID-19,positive,,Korea,,,1,,,2,,,,,1,,1,https://doi.org/10.3904/kjim.2020.180
+814.png,247,female,62,,COVID-19,positive,,Korea,,,1,1,,1,,,,,1,,1,https://doi.org/10.3904/kjim.2020.180
+815.png,247,female,62,,COVID-19,positive,,Korea,1,,1,1,,1,,,,,1,,1,https://doi.org/10.3904/kjim.2020.180
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+884.png,288,female,61,AP,COVID-19,positive,1,US,,,1,,1,1,,,hypoxia,,1,pneumomediastinum,1,https://link.springer.com/article/10.1007/s11606-021-06813-6#Fig1
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+887.jpg,291,female,17,AP,COVID-19,positive,1,US,,,0,1,1,,,100,vomit,diabetes,1,,0,https://doi.org/10.1542/peds.147.3_MeetingAbstract.429
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+899p.jpg,302,male,0.5,AP,COVID-19,positive,,Spain,,,0,1,1,,,,,,1,,0,https://doi.org/10.1016/j.rxeng.2020.11.006
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diff --git a/kmeans.ipynb b/kmeans.ipynb
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@@ -0,0 +1,1445 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Example\n",
+    "\n",
+    "In this simple example, we load an image, pre-process it, and classify it with a pretrained EfficientNet."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting torchvision\n",
+      "  Downloading torchvision-0.22.0-cp313-cp313-macosx_11_0_arm64.whl.metadata (6.1 kB)\n",
+      "Requirement already satisfied: numpy in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from torchvision) (2.2.5)\n",
+      "Requirement already satisfied: torch==2.7.0 in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from torchvision) (2.7.0)\n",
+      "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from torchvision) (11.2.1)\n",
+      "Requirement already satisfied: filelock in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from torch==2.7.0->torchvision) (3.18.0)\n",
+      "Requirement already satisfied: typing-extensions>=4.10.0 in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from torch==2.7.0->torchvision) (4.13.2)\n",
+      "Requirement already satisfied: setuptools in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from torch==2.7.0->torchvision) (80.9.0)\n",
+      "Requirement already satisfied: sympy>=1.13.3 in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from torch==2.7.0->torchvision) (1.14.0)\n",
+      "Requirement already satisfied: networkx in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from torch==2.7.0->torchvision) (3.5)\n",
+      "Requirement already satisfied: jinja2 in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from torch==2.7.0->torchvision) (3.1.6)\n",
+      "Requirement already satisfied: fsspec in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from torch==2.7.0->torchvision) (2025.5.1)\n",
+      "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from sympy>=1.13.3->torch==2.7.0->torchvision) (1.3.0)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in /Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages (from jinja2->torch==2.7.0->torchvision) (3.0.2)\n",
+      "Downloading torchvision-0.22.0-cp313-cp313-macosx_11_0_arm64.whl (1.9 MB)\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.9/1.9 MB\u001b[0m \u001b[31m430.6 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
+      "\u001b[?25hInstalling collected packages: torchvision\n",
+      "Successfully installed torchvision-0.22.0\n",
+      "\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m25.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m25.1.1\u001b[0m\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip3 install --upgrade pip\u001b[0m\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    }
+   ],
+   "source": [
+    "pip install torchvision"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchvision import transforms\n",
+    "from efficientnet_pytorch import EfficientNet\n",
+    "from PIL import Image\n",
+    "import os\n",
+    "import numpy as np\n",
+    "from sklearn.cluster import KMeans\n",
+    "import matplotlib.pyplot as plt\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading: \"https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnet-b0-355c32eb.pth\" to /Users/tarasetareh/.cache/torch/hub/checkpoints/efficientnet-b0-355c32eb.pth\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100.0%"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loaded pretrained weights for efficientnet-b0\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "EfficientNet(\n",
+       "  (_conv_stem): Conv2dStaticSamePadding(\n",
+       "    3, 32, kernel_size=(3, 3), stride=(2, 2), bias=False\n",
+       "    (static_padding): ZeroPad2d((0, 1, 0, 1))\n",
+       "  )\n",
+       "  (_bn0): BatchNorm2d(32, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "  (_blocks): ModuleList(\n",
+       "    (0): MBConvBlock(\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        32, 32, kernel_size=(3, 3), stride=[1, 1], groups=32, bias=False\n",
+       "        (static_padding): ZeroPad2d((1, 1, 1, 1))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(32, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        32, 8, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        8, 32, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        32, 16, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(16, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "    (1): MBConvBlock(\n",
+       "      (_expand_conv): Conv2dStaticSamePadding(\n",
+       "        16, 96, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn0): BatchNorm2d(96, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        96, 96, kernel_size=(3, 3), stride=[2, 2], groups=96, bias=False\n",
+       "        (static_padding): ZeroPad2d((0, 1, 0, 1))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(96, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        96, 4, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        4, 96, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        96, 24, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(24, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "    (2): MBConvBlock(\n",
+       "      (_expand_conv): Conv2dStaticSamePadding(\n",
+       "        24, 144, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn0): BatchNorm2d(144, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        144, 144, kernel_size=(3, 3), stride=(1, 1), groups=144, bias=False\n",
+       "        (static_padding): ZeroPad2d((1, 1, 1, 1))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(144, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        144, 6, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        6, 144, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        144, 24, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(24, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "    (3): MBConvBlock(\n",
+       "      (_expand_conv): Conv2dStaticSamePadding(\n",
+       "        24, 144, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn0): BatchNorm2d(144, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        144, 144, kernel_size=(5, 5), stride=[2, 2], groups=144, bias=False\n",
+       "        (static_padding): ZeroPad2d((1, 2, 1, 2))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(144, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        144, 6, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        6, 144, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        144, 40, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(40, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "    (4): MBConvBlock(\n",
+       "      (_expand_conv): Conv2dStaticSamePadding(\n",
+       "        40, 240, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn0): BatchNorm2d(240, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        240, 240, kernel_size=(5, 5), stride=(1, 1), groups=240, bias=False\n",
+       "        (static_padding): ZeroPad2d((2, 2, 2, 2))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(240, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        240, 10, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        10, 240, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        240, 40, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(40, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "    (5): MBConvBlock(\n",
+       "      (_expand_conv): Conv2dStaticSamePadding(\n",
+       "        40, 240, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn0): BatchNorm2d(240, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        240, 240, kernel_size=(3, 3), stride=[2, 2], groups=240, bias=False\n",
+       "        (static_padding): ZeroPad2d((0, 1, 0, 1))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(240, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        240, 10, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        10, 240, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        240, 80, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(80, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "    (6-7): 2 x MBConvBlock(\n",
+       "      (_expand_conv): Conv2dStaticSamePadding(\n",
+       "        80, 480, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn0): BatchNorm2d(480, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        480, 480, kernel_size=(3, 3), stride=(1, 1), groups=480, bias=False\n",
+       "        (static_padding): ZeroPad2d((1, 1, 1, 1))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(480, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        480, 20, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        20, 480, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        480, 80, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(80, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "    (8): MBConvBlock(\n",
+       "      (_expand_conv): Conv2dStaticSamePadding(\n",
+       "        80, 480, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn0): BatchNorm2d(480, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        480, 480, kernel_size=(5, 5), stride=[1, 1], groups=480, bias=False\n",
+       "        (static_padding): ZeroPad2d((2, 2, 2, 2))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(480, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        480, 20, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        20, 480, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        480, 112, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(112, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "    (9-10): 2 x MBConvBlock(\n",
+       "      (_expand_conv): Conv2dStaticSamePadding(\n",
+       "        112, 672, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn0): BatchNorm2d(672, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        672, 672, kernel_size=(5, 5), stride=(1, 1), groups=672, bias=False\n",
+       "        (static_padding): ZeroPad2d((2, 2, 2, 2))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(672, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        672, 28, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        28, 672, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        672, 112, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(112, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "    (11): MBConvBlock(\n",
+       "      (_expand_conv): Conv2dStaticSamePadding(\n",
+       "        112, 672, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn0): BatchNorm2d(672, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        672, 672, kernel_size=(5, 5), stride=[2, 2], groups=672, bias=False\n",
+       "        (static_padding): ZeroPad2d((1, 2, 1, 2))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(672, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        672, 28, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        28, 672, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        672, 192, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(192, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "    (12-14): 3 x MBConvBlock(\n",
+       "      (_expand_conv): Conv2dStaticSamePadding(\n",
+       "        192, 1152, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn0): BatchNorm2d(1152, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        1152, 1152, kernel_size=(5, 5), stride=(1, 1), groups=1152, bias=False\n",
+       "        (static_padding): ZeroPad2d((2, 2, 2, 2))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(1152, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        1152, 48, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        48, 1152, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        1152, 192, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(192, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "    (15): MBConvBlock(\n",
+       "      (_expand_conv): Conv2dStaticSamePadding(\n",
+       "        192, 1152, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn0): BatchNorm2d(1152, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_depthwise_conv): Conv2dStaticSamePadding(\n",
+       "        1152, 1152, kernel_size=(3, 3), stride=[1, 1], groups=1152, bias=False\n",
+       "        (static_padding): ZeroPad2d((1, 1, 1, 1))\n",
+       "      )\n",
+       "      (_bn1): BatchNorm2d(1152, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_se_reduce): Conv2dStaticSamePadding(\n",
+       "        1152, 48, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_se_expand): Conv2dStaticSamePadding(\n",
+       "        48, 1152, kernel_size=(1, 1), stride=(1, 1)\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_project_conv): Conv2dStaticSamePadding(\n",
+       "        1152, 320, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "        (static_padding): Identity()\n",
+       "      )\n",
+       "      (_bn2): BatchNorm2d(320, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "      (_swish): MemoryEfficientSwish()\n",
+       "    )\n",
+       "  )\n",
+       "  (_conv_head): Conv2dStaticSamePadding(\n",
+       "    320, 1280, kernel_size=(1, 1), stride=(1, 1), bias=False\n",
+       "    (static_padding): Identity()\n",
+       "  )\n",
+       "  (_bn1): BatchNorm2d(1280, eps=0.001, momentum=0.010000000000000009, affine=True, track_running_stats=True)\n",
+       "  (_avg_pooling): AdaptiveAvgPool2d(output_size=1)\n",
+       "  (_dropout): Dropout(p=0.2, inplace=False)\n",
+       "  (_fc): Linear(in_features=1280, out_features=1000, bias=True)\n",
+       "  (_swish): MemoryEfficientSwish()\n",
+       ")"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model = EfficientNet.from_pretrained('efficientnet-b0')\n",
+    "model.eval()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "transform = transforms.Compose([\n",
+    "    transforms.Resize(224),\n",
+    "    transforms.CenterCrop(224),\n",
+    "    transforms.ToTensor(),\n",
+    "    transforms.Normalize([0.485, 0.456, 0.406],\n",
+    "                         [0.229, 0.224, 0.225])\n",
+    "])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "image_dir = './covid_cxnet_dataset/covid19'\n",
+    "features_list = []\n",
+    "\n",
+    "for img_name in os.listdir(image_dir):\n",
+    "    img_path = os.path.join(image_dir, img_name)\n",
+    "    img = Image.open(img_path).convert('RGB')\n",
+    "    img_tensor = transform(img).unsqueeze(0) \n",
+    "\n",
+    "    with torch.no_grad():\n",
+    "        feat = model.extract_features(img_tensor) \n",
+    "        feat = torch.nn.functional.adaptive_avg_pool2d(feat, 1).squeeze().numpy() \n",
+    "        features_list.append(feat)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[-0.02936083  0.07647577 -0.1135061  ... -0.09110641 -0.16290665\n",
+      "   1.3335425 ]\n",
+      " [-0.12872352 -0.04895796  0.45590958 ... -0.1576537  -0.01354143\n",
+      "   1.2783446 ]\n",
+      " [-0.03685876 -0.14339817  0.0384442  ... -0.1393349   0.01769202\n",
+      "   0.27133164]\n",
+      " ...\n",
+      " [ 0.05318588 -0.17784473 -0.14047313 ... -0.07463481 -0.17176776\n",
+      "   1.5367606 ]\n",
+      " [-0.05858427 -0.10624857 -0.05262347 ... -0.06321011  0.00421527\n",
+      "   1.616744  ]\n",
+      " [-0.10871799 -0.05148267  0.11626962 ... -0.10215705 -0.13870943\n",
+      "   1.6855773 ]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "X = np.stack(features_list) \n",
+    "kmeans = KMeans(n_clusters=2, random_state=42)\n",
+    "labels = kmeans.fit_predict(X)\n",
+    "print(X)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "189.jpg → cluster: 0\n",
+      "374.PNG → cluster: 1\n",
+      "818-.png → cluster: 1\n",
+      "162.jpg → cluster: 0\n",
+      "252.jfif → cluster: 1\n",
+      "638.png → cluster: 0\n",
+      "610.png → cluster: 0\n",
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+      "192-.jpeg → cluster: 0\n",
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+      "157.jpg → cluster: 1\n",
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+      "074.jpeg → cluster: 0\n",
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+      "816.png → cluster: 1\n",
+      "565-.png → cluster: 1\n",
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+      "803.jpg → cluster: 1\n",
+      "455p.jpg → cluster: 1\n",
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+      "381.PNG → cluster: 1\n",
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+      "394.PNG → cluster: 0\n",
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+      "054.jpeg → cluster: 1\n",
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+      "800.jpg → cluster: 0\n",
+      "111.jpeg → cluster: 1\n",
+      "110.jpeg → cluster: 0\n",
+      "384.PNG → cluster: 1\n",
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+      "002.jpeg → cluster: 1\n",
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+      "080.jpeg → cluster: 0\n",
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+      "139.webp → cluster: 1\n",
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+      "197.webp → cluster: 1\n",
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+      "378.PNG → cluster: 0\n",
+      "251.jfif → cluster: 0\n",
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+      "230.jpg → cluster: 0\n",
+      "224.jpg → cluster: 1\n",
+      "018.jpeg → cluster: 1\n",
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+      "783.jpg → cluster: 1\n",
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+      "595.png → cluster: 1\n",
+      "247.jfif → cluster: 0\n",
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+      "768.jpg → cluster: 1\n",
+      "769.jpg → cluster: 0\n",
+      "594.png → cluster: 0\n",
+      "027.jpg → cluster: 1\n",
+      "033.jpg → cluster: 0\n",
+      "580.png → cluster: 0\n",
+      "219.png → cluster: 1\n",
+      "171.jpeg → cluster: 1\n",
+      "782.jpg → cluster: 1\n",
+      "557.png → cluster: 0\n",
+      "543.png → cluster: 0\n",
+      "796.jpg → cluster: 1\n",
+      "225.jpg → cluster: 0\n",
+      "231.jpg → cluster: 1\n",
+      "755.png → cluster: 0\n",
+      "741.png → cluster: 1\n",
+      "063.jpeg → cluster: 1\n",
+      "806.png → cluster: 0\n",
+      "351.jpg → cluster: 1\n",
+      "437.jpg → cluster: 1\n",
+      "423.jpg → cluster: 1\n",
+      "345.jpg → cluster: 1\n",
+      "609.png → cluster: 0\n",
+      "147.png → cluster: 1\n",
+      "075.jpeg → cluster: 0\n",
+      "621.png → cluster: 1\n",
+      "635.png → cluster: 1\n",
+      "153.png → cluster: 0\n",
+      "386.PNG → cluster: 0\n",
+      "392.PNG → cluster: 0\n",
+      "379.PNG → cluster: 0\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i, img_name in enumerate(os.listdir(image_dir)):\n",
+    "    print(f\"{img_name} → cluster: {labels[i]}\")\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}