Deep learning-based high-accuracy detection for lumbar and cervical degenerative disease on T2-weighted MR images.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Published Date: Mar 21, 2023

Abstract

PURPOSE: To develop and validate a deep learning (DL) model for detecting lumbar degenerative disease in both sagittal and axial views of T2-weighted MRI and evaluate its generalized performance in detecting cervical degenerative disease.

Authors

  • Wei Yi
    College of Graduate, Guangxi University of CM, Nanning 530200, China.
  • Jingwei Zhao
    Spine Department, Beijing Jishuitan Hospital, Beijing, China.
  • Wen Tang
    Infervision, Beijing, China.
  • Hongkun Yin
    Beijing Infervision Technology Co. Ltd., Beijing, 100025, China.
  • Lifeng Yu
    Hithink RoyalFlush Information Network Co., Ltd., Hangzhou 310023, China. yulifeng@myhexin.com.
  • Yaohui Wang
    Department of Interventional Radiology, Fudan University Shanghai Cancer Center, Xuhui District, Shanghai, China.
  • Wei Tian
    Department of Geriatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.

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