STNHCL uses hypergraph modeling of patch relationships and dual Gaussian weighting of negative samples to achieve state-of-the-art multi-domain stain transfer while addressing limitations of cycle consistency.
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Patch-Wise Hypergraph Contrastive Learning with Dual Normal Distribution Weighting for Multi-Domain Stain Transfer
STNHCL uses hypergraph modeling of patch relationships and dual Gaussian weighting of negative samples to achieve state-of-the-art multi-domain stain transfer while addressing limitations of cycle consistency.