cGAN-based virtual H&E destaining and restaining generalizes to unregistered external pathology WSIs via preprocessing, with destaining PCC of 0.854 and restaining outperforming direct staining.
Use of deep learning to develop and analyze computational hematoxylin and eosin staining of prostate core biopsy images for tumor diagnosis,
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Generative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images
cGAN-based virtual H&E destaining and restaining generalizes to unregistered external pathology WSIs via preprocessing, with destaining PCC of 0.854 and restaining outperforming direct staining.