Spinal disease diagnosis assistant based on MRI images using deep transfer learning methods.

Journal: Frontiers in public health
Published Date:

Abstract

INTRODUCTION: In light of the potential problems of missed diagnosis and misdiagnosis in the diagnosis of spinal diseases caused by experience differences and fatigue, this paper investigates the use of artificial intelligence technology for auxiliary diagnosis of spinal diseases.

Authors

  • Junbo Xuan
    Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin, China.
  • Baoyi Ke
    Department of Spine and Osteopathy Surgery, Guilin People's Hospital, Guilin, China.
  • Wenyu Ma
    Department of Spine and Osteopathy Surgery, Guilin People's Hospital, Guilin, China.
  • Yinghao Liang
    School of Artificial Intelligence, Naning Vocational and Technical University, Nanning, China.
  • Wei Hu
    State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China.