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Application of MRI Radiomics-Based Machine Learning Model to Improve Contralateral BI-RADS 4 Lesion Assessment
OBJECTIVE: This study aimed to explore the potential of magnetic resonance imaging (MRI) radiomics-based machine learning to improve assessment and diagnosis of contralateral Breast Imaging Reporting and Data System (BI-RADS) category 4 lesions in women with primary breast cancer. MATERIALS AND METH...
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| 出版年: | Front Oncol |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2020
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7660748/ https://ncbi.nlm.nih.gov/pubmed/33194589 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.531476 |
| タグ: |
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