The Value of Whole-Volume Radiomics Machine Learning Model Based on Multiparametric MRI in Predicting Triple-Negative Breast Cancer.

Abstract

Authors

• Tingting Xu
  Center for Information and Systems Engineering, Boston University, Boston, MA 02215 USA.
• Xueli Zhang
  Center for Systems Biology, Soochow University, Suzhou 215006, Jiangsu, China.
• Huan Tang
  Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
• Ting Hua Bd
  Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
• Fuxia Xiao
  Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
• Zhijun Cui
  Department of Medicine Imaging, the Chongming Branch of Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
• Guangyu Tang
  Department of Radiology, Shanghai Tenth People's Hospital, Clinical Medical College of Nanjing Medical University, 301 Middle Yanchang Road, Shanghai, 200072, PR China (J.Z., G.T.); Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, PR China (X.Z., L.Z., G.T.).
• Lin Zhang
  Laboratory of Molecular Translational Medicine, Centre for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Clinical Research Center for Birth Defects of Sichuan Province, West China Second Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. Electronic address: zhanglin@scu.edu.cn.

Keywords

External Resources