Deep learning-based survival prediction for multiple cancer types using histopathology images

Providing prognostic information at the time of cancer diagnosis has important implications for treatment and monitoring. Although cancer staging, histopathological assessment, molecular features, and clinical variables can provide useful prognostic insights, improving risk stratification remains an...

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Detalles Bibliográficos
Autores principales: Wulczyn, Ellery, Steiner, David F., Xu, Zhaoyang, Sadhwani, Apaar, Wang, Hongwu, Flament-Auvigne, Isabelle, Mermel, Craig H., Chen, Po-Hsuan Cameron, Liu, Yun, Stumpe, Martin C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299324/
https://www.ncbi.nlm.nih.gov/pubmed/32555646
http://dx.doi.org/10.1371/journal.pone.0233678

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299324/
https://www.ncbi.nlm.nih.gov/pubmed/32555646
http://dx.doi.org/10.1371/journal.pone.0233678

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