Sex Estimation of Medial Aspect of the Ischiopubic Ramus in Adults Based on Deep Learning.

Journal: Fa yi xue za zhi
Published Date: Apr 25, 2023

Abstract

OBJECTIVES: To investigate the reliability and accuracy of deep learning technology in automatic sex estimation using the 3D reconstructed images of the computed tomography (CT) from the Chinese Han population.

Authors

  • Yong-Gang Ma
    3201 Hospital Affiliated to Xi'an Jiaotong University, Hanzhong 723000, Shaanxi Province, China.
  • Yong-Jie Cao
    Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
  • Yi-Hua Zhao
    Fujian Kesheng Judicial Expertise Center, Putian 351100, Fujian Province, China.
  • Xin-Jun Zhou
    3201 Hospital Affiliated to Xi'an Jiaotong University, Hanzhong 723000, Shaanxi Province, China.
  • Bin Huang
    Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Gao-Chao Zhang
    3201 Hospital Affiliated to Xi'an Jiaotong University, Hanzhong 723000, Shaanxi Province, China.
  • Ping Huang
    Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Ya-Hui Wang
    Institute of Forensic Science, Ministry of Justice, China, Shanghai Key Laboratory of Forensic Medicine, NO1347, West Guangfu Road, Putuo District, Shanghai, China.
  • Kai-Jun Ma
    Institute of Forensic Science, Shanghai Public Security Bureau, Shanghai 200083, China.
  • Feng Chen
    Department of Integrated Care Management Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Dong-Chuan Zhang
    Institute of Forensic Science, Shanghai Public Security Bureau, Shanghai 200083, China.
  • Ji Zhang
    Department of Neurology, Xiangya Hospital, Central South University, Jiangxi, Nanchang, 330006, Jiangxi, China.

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