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Role-Guided MOE for Encoder-Level Pathology Representation Learning in WSI Classification
Whole slide image classification is a fundamental task in computational pathology, where patch representation quality directly affects downstream aggregation and slide-level discriminability. Pathology foundation models are widely adopted as frozen feature extractors for WSI classification; however,
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