Assessing Axillary Lymph Node Burden and Prognosis in cT1-T2 Stage Breast Cancer Using Machine Learning Methods: A Retrospective Dual-Institutional MRI Study.

Abstract

Authors

• Jiayi Liao
  Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
• Zeyan Xu
  School of Medicine, South China University of Technology, Guangzhou 510006, China.
• Yu Xie
  Department of Sociology, Princeton University, Princeton, New Jersey, USA.
• Yanting Liang
  Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China; School of Medicine, South Medical University, Guangzhou, China.
• Qingru Hu
  The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
• Chunling Liu
  Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
• Lifen Yan
  Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
• Wenjun Diao
  Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
• Zaiyi Liu
  Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
• Lei Wu
  Advanced Photonics Center, Southeast University, Nanjing, 210096, China.
• Changhong Liang
  Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.

Keywords

External Resources