Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series
Background: Prediction of clinical outcomes for individual cancer patients is an important step in the disease diagnosis and subsequently guides the treatment and patient counseling. In this work, we develop and evaluate a joint outcome and biomarker supervised (estrogen receptor expression and ERBB...
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| Auteurs principaux: | , , , , , , , , , , , , |
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| Format: | Livre |
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Elsevier,
2022-01-01T00:00:00Z.
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A1234.567 |
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