AI-assisted histomorphological stratification of endometrial cancer: real-world validation of foundation models for molecular subtyping

Abstract Endometrial cancer (EC) is classified into four molecular subtypes with distinct prognosis and treatment implications. Despite this well-established molecular classification, morpho-molecular correlations remain understudied. Artificial intelligence (AI) enables biomarker prediction from H&...

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Bibliografiske detaljer

Principais autores:	Laura Schwarzmann, Robert Stöhr, Julius Emons, Patrik Pöschke, Katharina Seitz, Matthias Rübner, Matthias W. Beckmann, Mareike Britt Diederich, Irina Unser, Arndt Hartmann, Christian Matek, Ramona Erber
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2026-06-01
Serier:	npj Precision Oncology
Online adgang:	https://doi.org/10.1038/s41698-026-01522-x
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