Deep learning can predict survival directly from histology in clear cell renal cell carcinoma.

Deep learning can predict survival directly from histology in clear cell renal cell carcinoma.

For clear cell renal cell carcinoma (ccRCC) risk-dependent diagnostic and therapeutic algorithms are routinely implemented in clinical practice. Artificial intelligence-based image analysis has the potential to improve outcome prediction and thereby risk stratification. Thus, we investigated whether...

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Bibliographic Details
Main Authors: Frederik Wessels, Max Schmitt, Eva Krieghoff-Henning, Jakob N Kather, Malin Nientiedt, Maximilian C Kriegmair, Thomas S Worst, Manuel Neuberger, Matthias Steeg, Zoran V Popovic, Timo Gaiser, Christof von Kalle, Jochen S Utikal, Stefan Fröhling, Maurice S Michel, Philipp Nuhn, Titus J Brinker
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0272656

Internet

https://doi.org/10.1371/journal.pone.0272656

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