Interpretable Deep Learning Predicts the Molecular Endometrial Cancer Classification from H&E Images: A Combined Analysis of the Portec Randomized Clinical Trials Sarah Fremond , Sonali Andani , Jurriaan Barkey Wolf , Jouke Dijkstra , Sinead Melsbach , Jan J. Jobsen , Mariel Brinkhuis , Suzan Roothaan , Ina Jurgenliemk-Schulz , Ludy CHW Lutgens , Remi A. Nout , Elzbieta M. van der Steen-Banasik , Stephanie M. de Boer , Melanie E. Powell , Naveena Singh , Linda R. Mileshkin , Helen J. Mackay , Alexandra Leary , Hans W. Nijman , Vincent THBM Smit , Carien L. Creutzberg , Nanda Horeweg , Viktor H. Koelzer , Tjalling Bosse SSRN Electronic Journal（2022）
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molecular endometrial cancer classification, endometrial cancer, deep learning
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