Article

Assessing Foundation Models for Computational Pathology in Endometrial Cancer

2026-05-25

Abstract excerpt

Computational pathology leverages deep learning to extract clinically relevant information from digitized tumor slides, predicting histopathological subtypes, molecular alterations, and patient outcomes. Recent pipelines increasingly rely on foundation models trained on large pan-cancer datasets to generate generalizable features. In endometrial cancer (EC), their comparative performance for clinical diagnostic ta...

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Literature Corpus work: b5d1562f-e63a-560f-ae73-a0ad826bdd9b
DOI: 10.64898/2026.05.22.26353897

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