Enabling Early Identification of Malignant Vertebral Compression Fractures via 2.5D Convolutional Neural Network Model with CT Image Analysis.

Journal: Spine
Published Date:

Abstract

STUDY DESIGN: This study employed a retrospective data analysis approach combined with model development and validation.

Authors

  • Chengbin Huang
    East China Normal University, Shanghai, China.
  • Enli Li
    Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
  • Jiasen Hu
    Department of Orthopaedics, Yueqing People's Hospital, Wenzhou, Zhejiang Province, China.
  • Yixun Huang
    Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
  • Yuxuan Wu
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
  • Bingzhe Wu
    Hebei Medical University, Shijiazhuang, Hebei Province, China.
  • Jiahao Tang
    Department of Endocrinology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
  • Lei Yang
    George Mason University.

Keywords

No keywords available for this article.