A quantitative evaluation of the deep learning model of segmentation and measurement of cervical spine MRI in healthy adults.

Journal: Journal of applied clinical medical physics
Published Date: Jan 25, 2024

Abstract

PURPOSE: To evaluate the 3D U-Net model for automatic segmentation and measurement of cervical spine structures using magnetic resonance (MR) images of healthy adults.

Authors

  • Yifeng Zhu
    University of Maine, Orono, ME, United States.
  • Yushi Li
    Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, China.
  • Kexin Wang
    Clifford Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Jinpeng Li
  • Xiaodong Zhang
    The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Yaofeng Zhang
    Beijing Smart Tree Medical Technology co. Ltd., Beijing, China.
  • Jialun Li
    Beijing Smart Tree Medical Technology Co. Ltd., Beijing, 100011, China.
  • XiaoYing Wang

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