A Deep Learning Approach for MRI in the Diagnosis of Labral Injuries of the Hip Joint.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date:

Abstract

BACKGROUND: The diagnosis of labral injury on MRI is time-consuming and potential for incorrect diagnoses.

Authors

  • Ming Ni
    Department of Orthopaedics, Chinese People's Liberation Army General Hospital (301 Hospital), 28 Fuxing Rd, 100853, Beijing, China.
  • Xiaoyi Wen
    Institute of Statistics and Big Data, Renmin University of China, 59 Zhongguancun Street, Haidian District, Beijing, China.
  • Wen Chen
    School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China.
  • Yuqing Zhao
    Faculty of Mechanical and Electrical Engineering, Yunnan Agricultural University, Kunming, Yunnan 650201, PR China. Electronic address: kmyuqing@163.com.
  • Yuan Yuan
    Department of Geriatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
  • Piaoe Zeng
    Department of Radiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, China.
  • Qizheng Wang
    Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, People's Republic of China.
  • Yong Wang
    State Key Laboratory of Chemical Biology and Drug Discovery, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University Hunghom Kowloon Hong Kong P. R. China kwok-yin.wong@polyu.edu.hk.
  • Huishu Yuan
    Department of Radiology, Peking University Third Hospital, Beijing 10019, China.