A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn and SHAP.

Zhang, Gaosen; Shi, Yan; Yin, Peipei; Liu, Feifei; Fang, Yi; Li, Xiang; Zhang, Qingyu; Zhang, Zhen

Zhang, Gaosen; Shi, Yan; Yin, Peipei; Liu, Feifei; Fang, Yi; Li, Xiang; Zhang, Qingyu; Zhang, Zhen.

Afiliação

Zhang G; Department of Ultrasound, First Affiliated Hospital of China Medical University, Shenyang, China.
Shi Y; Department of Ultrasound, Binzhou Medical University Hospital, Binzhou, China.
Yin P; Department of Ultrasound, Binzhou Medical University Hospital, Binzhou, China.
Liu F; Department of Ultrasound Medicine, Peking University People's Hospital, Beijing, China.
Fang Y; Department of Ultrasound, First Affiliated Hospital of China Medical University, Shenyang, China.
Li X; Department of Ultrasound, First Affiliated Hospital of China Medical University, Shenyang, China.
Zhang Q; College of Information Science and Engineering, Northeastern University, Shenyang, China.
Zhang Z; Department of Ultrasound, First Affiliated Hospital of China Medical University, Shenyang, China.

Front Oncol ; 12: 944569, 2022.

Article em En | MEDLINE | ID: mdl-35957890