Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning

Histopathological images contain morphological markers of disease progression that have diagnostic and predictive values. In this study, we demonstrate how deep learning framework can be used for an automatic classification of Renal Cell Carcinoma (RCC) subtypes, and for identification of features t...

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Detalles Bibliográficos
Autores principales: Tabibu, Sairam, Vinod, P. K., Jawahar, C. V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642160/
https://www.ncbi.nlm.nih.gov/pubmed/31324828
http://dx.doi.org/10.1038/s41598-019-46718-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642160/
https://www.ncbi.nlm.nih.gov/pubmed/31324828
http://dx.doi.org/10.1038/s41598-019-46718-3

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