AI RESEARCH
UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC
arXiv CS.LG
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ArXi:2603.12716v1 Announce Type: cross Virtual immunohistochemistry (IHC) staining from hematoxylin and eosin (H&E) images can accelerate diagnostics by providing preliminary molecular insight directly from routine sections, reducing the need for repeat sectioning when tissue is limited. Existing methods improve realism through contrastive objectives, prototype matching, or domain alignment, yet the generator itself receives no direct guidance from pathology foundation models.