SOURCE-LINKED INTELLIGENCE
Semantic-Aware Subgraph State Space Model for WSI Classification in Histopathology
Histopathological subtyping relies on the recognition of characteristic histological patterns. These patterns may be expressed by individual tissue structures or by the spatial distribution and co-occurrence of multiple structures, and they often span irregularly shaped tissue regions, termed semantic units in this work. However, conventional patch-based representations may fragment such units and fail to explicitly preserve their internal spatial organization, while efficiently modeling relationships among numerous spatially separated units remains challenging. To address these limitations, w
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T11:26:43.000Z
First collected: 2026-09-21T04:51:57.792Z. This is not the publication date.