The application of deep learning in abdominal trauma diagnosis by CT imaging.

Journal: World journal of emergency surgery : WJES
PMID: 38711150

Abstract

BACKGROUND: Abdominal computed tomography (CT) scan is a crucial imaging modality for creating cross-sectional images of the abdominal area, particularly in cases of abdominal trauma, which is commonly encountered in traumatic injuries. However, interpreting CT images is a challenge, especially in emergency. Therefore, we developed a novel deep learning algorithm-based detection method for the initial screening of abdominal internal organ injuries.

Authors

  • Xinru Shen
    School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, PR China.
  • Yixin Zhou
    Department of Orthopaedic Surgery, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, Beijing, China.
  • Xueyu Shi
    School of Computing and Information, Information Science, University of Pittsburgh, Pittsburgh, PA, USA.
  • Shiyun Zhang
    School of Computing and Information, Information Science, University of Pittsburgh, Pittsburgh, PA, USA.
  • Shengwen Ding
    School of Computing and Information, Information Science, University of Pittsburgh, Pittsburgh, PA, USA.
  • Liangliang Ni
    School of Software, Hefei University of Technology, Hefei, Anhui, PR China.
  • Xiaobing Dou
    School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, PR China. xbdou77@gmail.com.
  • Lin Chen
    College of Sports, Nanjing Tech University, Nanjing, China.

Keywords

External Resources

Popular Topics
Recent Journals