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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| Principais autores: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2020-01-01
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| coleção: | PLoS ONE |
| Acesso em linha: | https://doi.org/10.1371/journal.pone.0233678 |
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