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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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| Veröffentlicht in: | PLoS One |
|---|---|
| Hauptverfasser: | , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7299324/ https://ncbi.nlm.nih.gov/pubmed/32555646 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0233678 |
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