A radiomics study of textural features using magnetic resonance imaging for classification of breast cancer subtypes

• Main Authors: Tang, Z. Y., Tan, Li Kuo, Ng, B. Y., Rahmat, Kartini, Ramli, M. T., Ninomiya, K., Wong, J. H. D.
• Format: Conference or Workshop Item
• Published: IOP PUBLISHING LTD 2020
• Subjects: R Medicine (General)
• Online Access: http://eprints.um.edu.my/37192/; https://iopscience.iop.org/article/10.1088/1742-6596/1497/1/012015

Breast cancer is usually screened using mammography and biopsy is used to confirm diagnosis. Recent radiomics approaches suggest predictive associations between images and medical outcome. This study aims to classify breast cancer subtypes using textural features derived from magnetic resonance imag...