Classification of MR-Detected Additional Lesions in Patients With Breast Cancer Using a Combination of Radiomics Analysis and Machine Learning

Classification of MR-Detected Additional Lesions in Patients With Breast Cancer Using a Combination of Radiomics Analysis and Machine Learning

ObjectiveThis 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.Ma...

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Autores principales: Hyo-jae Lee, Anh-Tien Nguyen, So Yeon Ki, Jong Eun Lee, Luu-Ngoc Do, Min Ho Park, Ji Shin Lee, Hye Jung Kim, Ilwoo Park, Hyo Soon Lim
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
breast neoplasms
magnetic resonance imaging
machine learning
radiomics
ultrasonography
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Acceso en línea:https://doaj.org/article/39ea7ab626464e2f96a3b96afcd71066
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https://doaj.org/article/39ea7ab626464e2f96a3b96afcd71066

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