Use of deep learning in forensic sex estimation of virtual pelvic models from the Han population

• Main Authors: Yongjie Cao (Author), Yonggang Ma (Author), Xiaotong Yang (Author), Jian Xiong (Author), Yahui Wang (Author), Jianhua Zhang (Author), Zhiqiang Qin (Author), Yijiu Chen (Author), Duarte Nuno Vieira (Author), Feng Chen (Author), Ji Zhang (Author), Ping Huang (Author)
• Format: Book
• Published: Oxford University Press, 2021-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Accurate sex estimation is crucial to determine the identity of human skeletal remains effectively. Here, we developed convolutional neural network (CNN) models for sex estimation on virtual hemi-pelvic regions, including the ventral pubis (VP), dorsal pubis (DP), greater sciatic notch (GSN), pelvic...