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....

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
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

Internet

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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