Convolutional neural network for identifying common bile duct stones based on magnetic resonance cholangiopancreatography.

Abstract

Authors

• K Sun
  Department of Mechanical Engineering, Politecnico di Milano, Milano 20156, Italy.
• M Li
  Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: 1515007@zju.edu.cn.
• Y Shi
  Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: 1511053@zju.edu.cn.
• H He
  Department of Pathology, Henan People's Hospital/Zhengzhou University People's Hospital; Zhengzhou 450003, China.
• Y Li
• L Sun
  The First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China. Electronic address: sl779@sohu.com.
• H Wang
  Department of Mechanical Engineering, Columbia University, 500 West 120th Street, New York, NY 10027, USA.
• C Jin
  Department of Radiation Oncology, Stanford University School of Medicine, Stanford California, USA.
• M Chen
  Department of Radiation Oncology, First Affiliated Hospital, Bengbu Medical College, Bengbu, Anhui 233004, China.
• L Li
  School of Computing, Clemson University, Clemson, SC, USA.

Keywords

External Resources