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Breast Cancer Risk Estimation with Artificial Neural Networks Revisited: Discrimination and Calibration
BACKGROUND: Discriminating malignant breast lesions from benign ones and accurately predicting the risk of breast cancer for individual patients are critical in successful clinical decision-making. In the past, several artificial neural network (ANN) models have been developed for breast cancer risk...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2010
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2920215/ https://ncbi.nlm.nih.gov/pubmed/20564067 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cncr.25081 |
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