Development and Validation of an Automated Classification System for Osteonecrosis of the Femoral Head Using Deep Learning Approach: A Multicenter Study.

Journal: The Journal of arthroplasty
PMID: 37572719

Abstract

BACKGROUND: Accurate classification can facilitate the selection of appropriate interventions to delay the progression of osteonecrosis of the femoral head (ONFH). This study aimed to perform the classification of ONFH through a deep learning approach.

Authors

  • Xianyue Shen
    Department of Orthopedics, The Second Hospital of Jilin University.
  • Ziling He
    College of Computer Science and Technology, Jilin University, Changchun, Jilin province, PR China.
  • Yi Shi
    College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing 210023, People's Republic of China.
  • Tong Liu
    Intensive Care Medical Center, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, People's Republic of China.
  • Yuhui Yang
    Department of Orthopedics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong province, PR China.
  • Jia Luo
    Business School, Chengdu University, Chengdu, China.
  • Xiongfeng Tang
    Orthpoeadic Medical Center, Jilin University Second Hospital, Changchun, Jilin, China (mainland).
  • Bo Chen
  • Shenghao Xu
    Key Laboratory of Sensor Analysis of Tumor Marker, Ministry of Education, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, PR China.
  • You Zhou
    Visionary Intelligence Ltd., Beijing, China.
  • Jianlin Xiao
    Department of Orthopedics, China-Japan Union Hospital of Jilin University, Changchun, Jilin province, PR China.
  • Yanguo Qin
    Orthopedic Medical Center, Jilin University Second Hospital, Changchun, Jilin, China (mainland).

Keywords

External Resources

Popular Topics
Recent Journals