Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning

Studies have shown that colorectal cancer prognosis can be predicted by deep learning-based analysis of histological tissue sections of the primary tumor. So far, this has been achieved using a binary prediction. Survival curves might contain more detailed information and thus enable a more fine-gra...

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Detalles Bibliográficos
Autores principales: Höhn, Julia, Krieghoff-Henning, Eva, Wies, Christoph, Kiehl, Lennard, Hetz, Martin J., Bucher, Tabea-Clara, Jonnagaddala, Jitendra, Zatloukal, Kurt, Müller, Heimo, Plass, Markus, Jungwirth, Emilian, Gaiser, Timo, Steeg, Matthias, Holland-Letz, Tim, Brenner, Hermann, Hoffmeister, Michael, Brinker, Titus J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522577/
https://www.ncbi.nlm.nih.gov/pubmed/37752266
http://dx.doi.org/10.1038/s41698-023-00451-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522577/
https://www.ncbi.nlm.nih.gov/pubmed/37752266
http://dx.doi.org/10.1038/s41698-023-00451-3

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