Deep Learning Model for Grading and Localization of Lumbar Disc Herniation on Magnetic Resonance Imaging.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Apr 27, 2024

Abstract

BACKGROUND: Methods for grading and localization of lumbar disc herniation (LDH) on MRI are complex, time-consuming, and subjective. Utilizing deep learning (DL) models as assistance would mitigate such complexities.

Authors

  • Yefu Xu
    Department of Spine Surgery, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Shijie Zheng
    Department of Spine Surgery, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Qingyi Tian
    Department of Spine Surgery, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Zhuoyan Kou
    Department of Spine Surgery, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Wenqing Li
    College of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Science) Jinan 250353 China lyzhangjishi@163.com +86 531 89631680 +86 531 89631680.
  • Xinhui Xie
    Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
  • Xiaotao Wu
    Department of Spine Surgery, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

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