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Integrating Machine Learning and Physician Knowledge to Improve the Accuracy of Breast Biopsy
In this work we show that combining physician rules and machine learned rules may improve the performance of a classifier that predicts whether a breast cancer is missed on percutaneous, image-guided breast core needle biopsy (subsequently referred to as “breast core biopsy”). Specifically, we show...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Medical Informatics Association
2011
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3243183/ https://ncbi.nlm.nih.gov/pubmed/22195087 |
| タグ: |
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