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Classification of MR-Detected Additional Lesions in Patients With Breast Cancer Using a Combination of Radiomics Analysis and Machine Learning
OBJECTIVE: This study was conducted in order to investigate the feasibility of using radiomics analysis (RA) with machine learning algorithms based on breast magnetic resonance (MR) images for discriminating malignant from benign MR-detected additional lesions in patients with primary breast cancer....
Autores principales: | Lee, Hyo-jae, Nguyen, Anh-Tien, Ki, So Yeon, Lee, Jong Eun, Do, Luu-Ngoc, Park, Min Ho, Lee, Ji Shin, Kim, Hye Jung, Park, Ilwoo, Lim, Hyo Soon |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8679659/ https://www.ncbi.nlm.nih.gov/pubmed/34926256 http://dx.doi.org/10.3389/fonc.2021.744460 |
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