Open AccessDeep learning can predict survival directly from histology in clear cell renal cell carcinoma
Author(s) -
Frederik Wessels,
Max Schmitt,
Eva Krieghoff-Henning,
Jakob Nikolas Kather,
Malin Nientiedt,
Maximilian C. Kriegmair,
Thomas Worst,
Manuel Neuberger,
Matthias Steeg,
Zoran V. Popović,
Timo Gaiser,
Christof von Kalle,
Jochen Utikal,
Stefan Fröhling,
Maurice Stephan Michel,
Philipp Nuhn,
Titus J. Brinker
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0272656
Subject(s) - clear cell renal cell carcinoma , receiver operating characteristic , medicine , confidence interval , cohort , odds ratio , renal cell carcinoma , oncology , diagnostic odds ratio , logistic regression , algorithm , computer science