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FG-Net

High-quality coronary artery segmentation via fuzzy logic modeling coupled with dynamic graph convolutional network

The proposed network is at: ./model/fgnet_3d.py

Quantitative comparison with state-of-the-art methods on the CTA119 dataset and the ASOCA dataset The best results are in bold, and the second-best results are underlined. coronary artery segmentation performance on the CAS-119 dataset and the ASOCA dataset by different methods

Qualitative Comparison: comparison of results for two typical cases from the ASOCA dataset by different methods. sota

Usage

Data preparation

ASOCA dataset:

https://asoca.grand-challenge.org

data ├── npy

    ├── img
    
        ├── 1.npy
        
        ├── 2.npy
        
        └── ...
        
    └── mask
    
        ├── 1.npy
        
        ├── 2.npy
        
        └── ...

Training

python train.py

Testing

python test.py

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High-quality coronary artery segmentation via fuzzy logic modeling coupled with dynamic graph convolutional network

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