Application research on the diagnosis of classic trigeminal neuralgia based on VB-Net technology and radiomics.

Journal: BMC medical imaging
PMID: 39285327

Abstract

BACKGROUND: This study aims to utilize the deep learning method of VB-Net to locate and segment the trigeminal nerve, and employ radiomics methods to distinguish between CTN patients and healthy individuals.

Authors

  • Lei Pan
    Department of Chemical Engineering, Michigan Technological University, Houghton, MI 49931, USA.
  • Xuechun Wang
    School of Optical and Electronic Information- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
  • Xiuhong Ge
    Department of Radiology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, 310000, Zhejiang, China.
  • Haiqi Ye
    Department of Radiology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, 310000, Zhejiang, China.
  • Xiaofen Zhu
    Department of Radiology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, 310000, Zhejiang, China.
  • Qi Feng
    Panzhihua University, Panzhihua 617000, Sichuan, China.
  • Haibin Wang
    Department of Radiology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, 310000, Zhejiang, China.
  • Feng Shi
    Department of Research and Development, Shanghai United Imaging Intelligence, Co., Ltd. Shanghai, China.
  • Zhongxiang Ding

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