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The code for paper "DATA AUGMENTATION IS MORE IMPORTANT THAN MODEL ARCHITECTURES FOR RETINAL VESSEL SEGMENTATION " We utilize the retina-unet "https://github.com/orobix/retina-unet" as the basic code, but we change a lot of code and add the rotation augmentation ,which achieves the good result AUC 0.9814.

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zhangjiantao0818/retinal-vessel-segmentation-with-rotation-augmentation

 
 

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retinal-vessel-segmentation-with-rotation-augmentation

The code for "DATA AUGMENTATION IS MORE IMPORTANT THAN MODEL ARCHITECTURES FOR RETINAL VESSEL SEGMENTATION " We utilize the retina-unet "https://github.com/orobix/retina-unet" as the basic code, but we change a lot of code and add the rotation augmentation ,which achieves the good result AUC 0.9814.

To train the model,,

run bash train_1.sh

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The code for paper "DATA AUGMENTATION IS MORE IMPORTANT THAN MODEL ARCHITECTURES FOR RETINAL VESSEL SEGMENTATION " We utilize the retina-unet "https://github.com/orobix/retina-unet" as the basic code, but we change a lot of code and add the rotation augmentation ,which achieves the good result AUC 0.9814.

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  • Python 99.8%
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