AI RESEARCH
Geometry-Aware State Space Model: A New Paradigm for Whole-Slide Image Representation
arXiv CS.AI
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ArXi:2605.05164v1 Announce Type: cross Accurate analysis of histopathological images is critical for disease diagnosis and treatment planning. Whole-slide images (WSIs), which digitize tissue specimens at gigapixel resolution, are fundamental to this process but require aggregating thousands of patches for slide-level predictions. Multiple Instance Learning (MIL) tackles this challenge with a two-stage paradigm, decoupling tile-level embedding and slide-level prediction.