MSCF-Net: unified multi-scale feature disentanglement for co-registered nucleus segmentation and virtual staining (opens in new tab)
BackgroundIntegrated single-cell morpho-molecular analysis is vital for precision pathology, yet accurate nuclear instance segmentation from standard histopathology images remains challenging due to staining variability and complex cellular morphology. While virtual staining provides complementary molecular cues, existing frameworks often treat generation and segmentation as independent or loosely coupled tasks, limiting the effective use of auxiliary information and leading to feature entang...
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