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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...

詳細記述

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書誌詳細
出版年:Front Oncol
主要な著者: Hao, Wen, Gong, Jing, Wang, Shengping, Zhu, Hui, Zhao, Bin, Peng, Weijun
フォーマット: Artigo
言語:Inglês
出版事項: Frontiers Media S.A. 2020
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
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