Article

SG-MuRCL: Smoothed Graph-Enhanced Multi-Instance Contrastive Learning for Robust Whole Slide Image Classification

2025-12-02

Abstract excerpt

Multiple Instance Learning (MIL) is a standard paradigm for classifying gigapixel whole-slide images (WSIs). However, prominent models such as Attention-Based MIL (ABMIL) treat image patches as independent instances, ignoring their inherent spatial context. More advanced frameworks like MuRCL employ reinforcement learning for instance selection but do not explicitly enforce spatial coherence, often resulting in no...

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Literature Corpus work: d68a285b-6e24-5cf9-974c-890a3ec624aa
DOI: 10.20944/preprints202512.0100.v1

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