Article

Real-World Benchmarking and Validation of Foundation Model Transformers for Endometrial Cancer Subtyping from Histopathology

2025-11-04

Abstract excerpt

<title>Abstract</title> Purpose To evaluate whether open-source histopathology foundation model pipelines, paired with attention-based multiple instance learning (MIL), can accurately classify molecular subtypes of endometrial cancer (EC) from whole-slide images (WSIs) and maintain performance in a real-world, independent cohort. Methods We assembled a public discovery cohort of 815 patients (1,195 WSIs) from...

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Literature Corpus work: 425d69f0-8f67-59d5-9d01-9b4ea23dd4b4
DOI: 10.21203/rs.3.rs-7689962/v1

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