Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method.

Abstract

Authors

• Xiangde Min
  Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, PR China.
• Min Li
  Hubei Provincial Institute for Food Supervision and Test, Hubei Provincial Engineering and Technology Research Center for Food Quality and Safety Test, Wuhan 430075, China.
• Di Dong
  The Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
• Zhaoyan Feng
  Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, PR China.
• Peipei Zhang
  Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, PR China.
• Zan Ke
  Department of Radiology, Tongji Hospital, Huazhong University of Science and Technology, Jiefang Road 1095, 430030, Wuhan, China.
• Huijuan You
  Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, PR China.
• Fangfang Han
  Department of Biomedical, Northeast University, Shenyan, China.
• He Ma
  Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang 110819, China and Key Laboratory of Medical Image Computing, Ministry of Education, Northeastern University, Shenyang 110819, China.
• Jie Tian
  CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
• Liang Wang
  Information Department, Dazhou Central Hospital, Dazhou 635000, China.

Keywords

External Resources