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Articles

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

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By Laura Schwarzmann, Robert Stöhr, Julius Emons, Patrik Pöschke, Matthias Rübner, Matthias W. Beckmann, Arndt Hartmann, Christian Matek, Ramona Erber, Katharina Seitz, Mareike Britt Diederich, Irina Unser
| Nature Verified
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&E-stained whole-slide images (WSIs). However, real-world validation for EC molecular subtyping is lacking.
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