This repo provides a framework to train CycleGAN- and U-GAT-IT-based translators for unsupervised stain-to-stain translation in histology. It builds upon the CycleGAN repository from https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix. <br>
An exemplary translation from the aSMA to PAS stain in kidney tissue is provided and its applicability to a prior segmentation model is shown by comparison with the ground-truth:
An exemplary translation from the aSMA to PAS stain in kidney tissue is provided and its applicability by a prior segmentation model is shown by comparison with the ground-truth:
