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A Fused Attention-based Hybrid Model for Semi-Supervised Medical Image Segmentation

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### ssim

We used pre-trained weight from here: https://github.com/google-research/big_transfer

Folder

root/    
|-- data/
    |-- ISIC/
    |   |-- TrainDataset/
    |   |   |-- images/
    |   |   |   |-- ISIC_0000001.jpg 
    |   |   |   |-- ISIC_0000002.jpg 
    |   |   |   ...
    |   |   |-- masks/
    |   |       |-- ISIC_0000001.jpg 
    |   |       |-- ISIC_0000002.jpg 
    |   |       ...
    |   |-- ValidationDataset/
    |   |   |-- images/
    |   |   |   |-- ISIC_0000003.jpg 
    |   |   |   |-- ISIC_0000004.jpg 
    |   |   |   ...
    |   |   |-- masks/
    |   |       |-- ISIC_0000003.jpg 
    |   |       |-- ISIC_0000004.jpg 
    |   |       ...
    |   |-- TestDataset/
    |       |-- images/
    |       |   |-- ISIC_0000005.jpg 
    |       |   |-- ISIC_0000006.jpg 
    |       |   ...
    |       |-- masks/
    |           |-- ISIC_0000005.jpg 
    |           |-- ISIC_0000006.jpg 
    |           ...
    |-- Kvasir-SEG/
        |-- TrainDataset/
        |   |-- images/
        |   |   ...
        |   |-- masks/
        |       ...
        |-- ValidationDataset/
        |   |-- images/
        |   |   ...
        |   |-- masks/
        |       ...
        |-- TestDataset/
            |-- images/
            |   ...
            |-- masks/
                ...

Training

python main.py --config ./configuration/isic.yaml

Testing

python main.py --config ./configuration/isic.yaml --test

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A Fused Attention-based Hybrid Model for Semi-Supervised Medical Image Segmentation

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