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1 Ergebnisse
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Interpretable deep learning model to predict the molecular ..:
Fremond, Sarah
;
Andani, Sonali
;
Wolf, Jurriaan Barkey
...
info:eu-repo/semantics/altIdentifier/doi/10.1016/S2589-7500(22)00210-2. , 2023
Link:
https://hdl.handle.net/20.500.11850/595178
RT Journal T1
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
UL https://suche.suub.uni-bremen.de/peid=base-ftethz:oai:www.research-collection.ethz.ch:20.500.11850_595178&Exemplar=1&LAN=DE A1 Fremond, Sarah A1 Andani, Sonali A1 Wolf, Jurriaan Barkey A1 Dijkstra, Jouke A1 Melsbach, Sinéad A1 Jobsen, Jan J A1 Brinkhuis, Mariel A1 Roothaan, Suzan A1 Jurgenliemk-Schulz, Ina A1 Lutgens, Ludy C.H.W A1 Nout, Remi A A1 van der Steen-Banasik, Elzbieta M A1 de Boer, Stephanie M A1 Singh, Naveena A1 Mileshkin, Linda R A1 Mackay, Helen J A1 Leary, Alexandra A1 Nijman, Hans W A1 Smit, Vincent T.H.B.M A1 Creutzberg, Carien L A1 Horeweg, Nanda A1 Koelzer, Viktor H A1 Bosse, Tjalling PB The Lancet YR 2023 JF info:eu-repo/semantics/altIdentifier/doi/10.1016/S2589-7500(22)00210-2 LK http://dx.doi.org/https://hdl.handle.net/20.500.11850/595178 DO https://hdl.handle.net/20.500.11850/595178 SF ELIB - SuUB Bremen
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