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......@@ -3,9 +3,9 @@ This repo provides a framework to train CycleGAN- and U-GAT-IT-based translators
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| Input aSMA image | Fake PAS translation |
|:--:|:--:|
| <img src="https://github.com/NBouteldja/KidneyStainTranslation/blob/main/exemplaryResults/aSMA_image.png?raw=true" width="400">| <img src="https://github.com/NBouteldja/KidneyStainTranslation/blob/main/exemplaryResults/fakePAS_translation.png?raw=true" width="324"> |
| <img src="https://github.com/NBouteldja/KidneyStainTranslation/blob/main/exemplaryResults/aSMA_image.png?raw=true" width="400">| <img src="https://github.com/NBouteldja/KidneyStainTranslation/blob/main/exemplaryResults/fakePAS_translation.png?raw=true" width="400"> |
| Prediction | Ground-truth |
| <img src="https://github.com/NBouteldja/KidneyStainTranslation/blob/main/exemplaryResults/prediction.png?raw=true" width="400">| <img src="https://github.com/NBouteldja/KidneyStainTranslation/blob/main/exemplaryResults/groundtruth.png?raw=true" width="324"> |
| <img src="https://github.com/NBouteldja/KidneyStainTranslation/blob/main/exemplaryResults/prediction.png?raw=true" width="324">| <img src="https://github.com/NBouteldja/KidneyStainTranslation/blob/main/exemplaryResults/groundtruth.png?raw=true" width="324"> |
# Training
To train a CycleGAN translator (e.g. incorporating a prior segmentation model), use the following command:
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