Radiograph-based rheumatoid arthritis diagnosis via convolutional neural network.

Journal: BMC medical imaging
Published Date:

Abstract

OBJECTIVES: Rheumatoid arthritis (RA) is a severe and common autoimmune disease. Conventional diagnostic methods are often subjective, error-prone, and repetitive works. There is an urgent need for a method to detect RA accurately. Therefore, this study aims to develop an automatic diagnostic system based on deep learning for recognizing and staging RA from radiographs to assist physicians in diagnosing RA quickly and accurately.

Authors

  • Yong Peng
    Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Xianqian Huang
    Department of Rheumatology, Ningbo No.2 Hospital, Ningbo, Zhejiang, China.
  • Minzhi Gan
    Department of Rheumatology, Ningbo No.2 Hospital, Ningbo, Zhejiang, China.
  • Keyue Zhang
    Department of Rheumatology, Ningbo No.2 Hospital, Ningbo, Zhejiang, China.
  • Yong Chen
    Department of Urology, Chongqing University Fuling Hospital, Chongqing, China.