Development and validation of ultrasound-based radiomics deep learning model to identify bone erosion in rheumatoid arthritis.

Journal: Clinical rheumatology
Published Date:

Abstract

OBJECTIVE: To develop and validate a deep learning radiomics fusion model (DLR) based on ultrasound (US) images to identify bone erosion in rheumatoid arthritis (RA) patients.

Authors

  • Lei Yan
    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
  • Jing Xu
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Xiaojian Ye
    Department of Orthopaedics, Changzheng Hospital Αffiliated to Second Military Medical University, Shanghai 200003, P.R. China.
  • Minghang Lin
    Department of Ultrasound, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
  • Yiran Gong
    Department of Ultrasound, The First Affiliated Hospital of Fujian Medical University, 20# Chazhong Road, Fuzhou, 350005, Fujian, China.
  • Yabin Fang
    Department of Ultrasound, The First Affiliated Hospital of Fujian Medical University, 20# Chazhong Road, Fuzhou, 350005, Fujian, China.
  • Shuqiang Chen
    Department of Ultrasound, The First Affiliated Hospital of Fujian Medical University, 20# Chazhong Road, Fuzhou, 350005, Fujian, China. chenshu0518@163.com.

Keywords

No keywords available for this article.