Article

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

2025-10-13

Abstract excerpt

<h4>Purpose</h4> 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. <h4>Methods</h4> We assembled a public discovery cohort of 815 patients (1,195 WSIs) from The Canc...

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Literature Corpus work: 5e37cc52-0441-518c-b2fe-cc6aefb670a3
DOI: 10.1101/2025.10.10.25337691

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