Kashin-Beck disease diagnosis based on deep learning from hand X-ray images.

Journal: Computer methods and programs in biomedicine
Published Date: Mar 1, 2021

Abstract

BACKGROUND AND OBJECTIVE: Kashin-Beck Disease (KBD) is a serious endemic bone disease leading to short stature. The early radiological examinations are crucial for potential patients. However, many children in rural China cannot be diagnosed in time due to the shortage of professional orthopedists. In this paper, an algorithm is developed to automatically screening KBD based on hand X-ray images of subjects, which can help the government reducing human resources investment and assisting the poor precisely.

Authors

  • Jinyuan Dang
    Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, No. 10 Xitucheng Road, Beijing 100876, China.
  • Hu Li
    School of Business, Qingdao University, Qingdao, Shandong, China.
  • Kai Niu
    Key Laboratory of Universal Wireless Communations, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China.
  • Zhiyuan Xu
    Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, 13210.
  • Jianhao Lin
    Arthritis Clinic and Research Center, Peking University People's Hospital, No. 11 Xicheng District, Beijing 100044, China. Electronic address: jianhao_lin@hotmail.com.
  • ZhiQiang He
    Key Laboratory of Universal Wireless Communations, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China; College of Big Data and Information Engineering, Guizhou University, Guizhou, China. Electronic address: hezq@bupt.edu.cn.

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