AI RESEARCH
Generative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images
arXiv CS.CV
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ArXi:2605.14251v1 Announce Type: new Conditional generative adversarial networks (cGANs) have enabled high-fidelity computational staining and destaining of hematoxylin and eosin (H&E) in digital pathology whole-slide images (WSI). However, their ability to generalize to out-of-distribution WSI across institutions without re