[Automated Assessment for Bone Age of Left Wrist Joint in Uyghur Teenagers by Deep Learning].

Journal: Fa yi xue za zhi
Published Date: Feb 1, 2018

Abstract

OBJECTIVES: To realize the automated bone age assessment by applying deep learning to digital radiography （DR） image recognition of left wrist joint in Uyghur teenagers, and explore its practical application value in forensic medicine bone age assessment.

Authors

  • T H Hu
    Department of Forensic Science, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
  • Z Huo
    People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830000, China.
  • T A Liu
    Shanghai Fanyang Information Technology Co., LTD., Shanghai 200444, China.
  • F Wang
    Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China.
  • L Wan
    Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
  • M W Wang
    Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
  • T Chen
    Department of Forensic Science, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
  • Y H Wang
    Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.

Keywords

External Resources

Popular Topics
Recent Journals