Intelligent detection and grading diagnosis of fresh rib fractures based on deep learning.

Journal: BMC medical imaging
PMID:

Abstract

BACKGROUND: Accurate detection and grading of fresh rib fractures are crucial for patient management but remain challenging due to the complexity of rib structures on CT images.

Authors

  • Tongxin Li
    Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China; Brain Assessment & Intervention Laboratory, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
  • Mingyi Liao
    National Center for Applied Mathematics in Chongqing, Chongqing Normal University, Chongqing, China.
  • Yong Fu
    The Life Sciences Research Institute of Guangxi Medical University, Nanning, 530021, People's Republic of China.
  • Fanghong Zhang
    National Center for Applied Mathematics in Chongqing, Chongqing Normal University, Chongqing, China.
  • Luya Shen
    Department of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University, Third Military Medical University, Chongqing, China.
  • Junliang Che
    National Center for Applied Mathematics in Chongqing, Chongqing Normal University, Chongqing, China.
  • Shulei Wu
    National Center for Applied Mathematics in Chongqing, Chongqing Normal University, Chongqing, China.
  • Jie Liu
    School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.
  • Wei Wu
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
  • Ping He
    Shanghai Hospital Development Center, Shanghai 200040, China. Electronic address: heping@shdc.org.cn.
  • Qingyuan Xu
    Department of Thoracic Surgery, Southwest Hospital, Army Medical University, Third Military Medical University, Chongqing, China. mirachare@163.com.
  • Yi Wu
    School of International Communication and Arts, Hainan University, Haikou, China.