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Development of an online, publicly accessible naive Bayesian decision support tool for mammographic mass lesions based on the American College of Radiology (ACR) BI-RADS lexicon
PURPOSE: To develop and validate a decision support tool for mammographic mass lesions based on a standardized descriptor terminology (BI-RADS lexicon) to reduce variability of practice. MATERIALS AND METHODS: We used separate training data (1276 lesions, 138 malignant) and validation data (1177 les...
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| 出版年: | Eur Radiol |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4420692/ https://ncbi.nlm.nih.gov/pubmed/25576230 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-014-3570-6 |
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