Article

Hypergraph-based Multi-instance Contrastive Reinforcement Learning for Annotation-free Pan-cancer Survival Prediction on Whole Slide Histology Images

2024-10-17

Abstract excerpt

<title>Abstract</title> <p>The computational challenges inherent to using digital pathology for prognosis derive from the fact that a typical gigapixel slide may consist of thousands of image tiles and previous models lack the capability on modeling the crucial slide-level contextual information, thereby resulting in suboptimal performance. Considering the aforementioned challenges, we propose a Hypergraph-based...

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Literature Corpus work: fc29099e-8301-5b24-b87e-1f952f863eb6
DOI: 10.21203/rs.3.rs-4918308/v1

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