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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| 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 |