The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma.

Journal: BMC medical imaging
PMID: 37055752

Abstract

BACKGROUND: To evaluate the value of a deep learning-based computer-aided diagnostic system (DL-CAD) in improving the diagnostic performance of acute rib fractures in patients with chest trauma.

Authors

  • Hui Tan
    College of Food Science, Shenyang Agriculture University, Shenyang, Liaoning 110866, China.
  • Hui Xu
    No 202 Hospital of People's Liberation Army, Liaoning 110003, China.
  • Nan Yu
    Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
  • Yong Yu
    Department of Automation, Xi'an Institute of High-Technology, Xi'an 710025, China, and Institute No. 25, Second Academy of China, Aerospace Science and Industry Corporation, Beijing 100854, China yuyongep@163.com.
  • Haifeng Duan
    Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
  • Qiuju Fan
    Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China. fanqiuju858700@gmail.com.
  • Tian Zhanyu
    Institute of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang, China.

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