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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Detalles Bibliográficos
Autores principales: Wessels, Frederik, Schmitt, Max, Krieghoff-Henning, Eva, Kather, Jakob N., Nientiedt, Malin, Kriegmair, Maximilian C., Worst, Thomas S., Neuberger, Manuel, Steeg, Matthias, Popovic, Zoran V., Gaiser, Timo, von Kalle, Christof, Utikal, Jochen S., Fröhling, Stefan, Michel, Maurice S., Nuhn, Philipp, Brinker, Titus J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385058/
https://www.ncbi.nlm.nih.gov/pubmed/35976907
http://dx.doi.org/10.1371/journal.pone.0272656

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385058/
https://www.ncbi.nlm.nih.gov/pubmed/35976907
http://dx.doi.org/10.1371/journal.pone.0272656

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