A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI.

Liu, Yulu; Jia, Xiaoxuan; Zhao, Jiaqi; Peng, Yuan; Yao, Xun; Hu, Xuege; Cui, Jingjing; Chen, Haoquan; Chen, Xiufeng; Wu, Jing; Hong, Nan; Wang, Shu; Wang, Yi

Liu, Yulu; Jia, Xiaoxuan; Zhao, Jiaqi; Peng, Yuan; Yao, Xun; Hu, Xuege; Cui, Jingjing; Chen, Haoquan; Chen, Xiufeng; Wu, Jing; Hong, Nan; Wang, Shu; Wang, Yi.

Afiliação

Liu Y; Department of Radiology, Peking University People's Hospital, Beijing, China.
Jia X; Department of Radiology, Peking University People's Hospital, Beijing, China.
Zhao J; Department of Radiology, Jiangmen Central Hospital, Jiangmen, China.
Peng Y; Department of Breast Surgery, Peking University People's Hospital, Beijing, China.
Yao X; Department of Radiology, Peking University People's Hospital, Beijing, China.
Hu X; Department of Breast Surgery, Peking University People's Hospital, Beijing, China.
Cui J; Department of Research and Development, United Imaging Intelligence (Beijing) Co., Ltd., Beijing, China.
Chen H; Department of Radiology, Peking University People's Hospital, Beijing, China.
Chen X; Department of General Surgery, Beijing Aerospace General Hospital, Beijing, China.
Wu J; Department of Radiology, Peking University People's Hospital, Beijing, China.
Hong N; Department of Radiology, Peking University People's Hospital, Beijing, China.
Wang S; Department of Breast Surgery, Peking University People's Hospital, Beijing, China.
Wang Y; Department of Radiology, Peking University People's Hospital, Beijing, China.