Additional file 1 of A SHAP-interpretable XGBoost model: MRI-based intratumoral perfusion heterogeneity predicts HER2-zero, -low, and -positive ternary expression status in breast cancer

Figshare 2026 Open access

Read full text

Authors: Shuxing Wang, Xiaowen Liu, Yudie Pan, Cici Zhang, Yu Wu, Changsi Jiang, Xue Tang, Yan Luo, Jingshan Gong

DOI: 10.6084/m9.figshare.31477226

Cited by: 0

Fields of Study & Subjects

MRI in cancer diagnosis Radiomics and Machine Learning in Medical Imaging Breast Cancer Treatment Studies