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 # KidneyStainTranslation
 This repository provides a framework to train CycleGAN- and U-GAT-IT-based translators for unsupervised stain-to-stain translation in histology. It builds upon this [CycleGAN repository](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix). <br>
-An exemplary translation from the aSMA to PAS stain in kidney tissue is provided below and its applicability by a prior segmentation model is shown by comparison with the ground-truth. The employed segmentation model is from this [paper](https://jasn.asnjournals.org/content/32/1/52.abstract) and its code repo can be found [here](https://github.com/NBouteldja/KidneySegmentation_Histology). In summary, its based on the [U-net architecture](https://arxiv.org/pdf/1505.04597.pdf) and was trained to segment several renal structures including tubulus ![#ff0000](https://via.placeholder.com/15/ff0000/000000?text=+), glomerulus ![#00ff00](https://via.placeholder.com/15/00ff00/000000?text=+), glomerular tuft ![#0000ff](https://via.placeholder.com/15/0000ff/000000?text=+), vein (including renal pelvis) ![#00ffff](https://via.placeholder.com/15/00ffff/000000?text=+), artery ![#ff00ff](https://via.placeholder.com/15/ff00ff/000000?text=+), and arterial lumen ![#ffff00](https://via.placeholder.com/15/ffff00/000000?text=+) from kidney histopathology data.
+An exemplary translation from the aSMA to PAS stain in kidney tissue is provided below and its applicability by a prior segmentation model is shown by comparison with the ground-truth. The employed segmentation model is from this [paper](https://jasn.asnjournals.org/content/32/1/52.abstract) and its code repo can be found [here](https://github.com/NBouteldja/KidneySegmentation_Histology). In summary, its based on the [U-net architecture](https://arxiv.org/pdf/1505.04597.pdf) and was trained to segment several renal structures including tubulus (colorful), glomerulus ![#00ff00](https://via.placeholder.com/15/00ff00/000000?text=+), glomerular tuft ![#0000ff](https://via.placeholder.com/15/0000ff/000000?text=+), vein (including renal pelvis) ![#00ffff](https://via.placeholder.com/15/00ffff/000000?text=+), artery ![#ff00ff](https://via.placeholder.com/15/ff00ff/000000?text=+), and arterial lumen ![#ffff00](https://via.placeholder.com/15/ffff00/000000?text=+) from kidney histopathology data.
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 | Input aSMA image | Fake PAS translation |
 |:--:|:--:|