학술논문
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Document Type
Article
Author
Fremond, S.; Barkey Wolf, J.; Melsbach, S.; Smit, V.T.H.B.M.; Bosse, T.; Dijkstra, J.; de Boer, S.M.; Creutzberg, C.L.; Horeweg, N.; Andani, S.; Koelzer, V.H.; Jobsen, J.J.; Brinkhuis, M.; Roothaan, S.; Jurgenliemk-Schulz, I.; Lutgens, L.C.H.W.; Nout, R.A.; van der Steen-Banasik, E.M.; Powell, M.E.; Singh, N.; Mileshkin, L.R.; Mackay, H.J.; Leary, A.; Nijman, H.W.
Source
In: The Lancet Digital Health . (The Lancet Digital Health, February 2023, 5(2):e71-e82)
Subject
Language
English
ISSN
25897500