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Interpretable survival prediction for colorectal cancer using deep learning
Deriving interpretable prognostic features from deep-learning-based prognostic histopathology models remains a challenge. In this study, we developed a deep learning system (DLS) for predicting disease-specific survival for stage II and III colorectal cancer using 3652 cases (27,300 slides). When ev...
Shranjeno v:
| izdano v: | NPJ Digit Med |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Nature Publishing Group UK
2021
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8055695/ https://ncbi.nlm.nih.gov/pubmed/33875798 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-021-00427-2 |
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