Automated quantitative assessment of pediatric blunt hepatic trauma by deep learning-based CT volumetry.

Journal: European journal of medical research
PMID:

Abstract

BACKGROUND: To develop an end-to-end deep learning method for automated quantitative assessment of pediatric blunt hepatic trauma based on contrast-enhanced computed tomography (CT).

Authors

  • Shungen Huang
    Pediatric Surgery, Children's Hospital of Soochow University, Suzhou, 215025, China.
  • Zhiyong Zhou
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China.
  • Xusheng Qian
    School of Electronics and Information Engineering, Soochow University, Suzhou 215006, PR China.
  • Dashuang Li
    Pediatric Surgery, Children's Hospital of Soochow University, Suzhou, 215025, China.
  • Wanliang Guo
    Department of Radiology, Children's Hospital of Soochow University, Suzhou, 215025, China. gwlsuzhou@163.com.
  • Yakang Dai
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China. Electronic address: daiyk@sibet.ac.cn.