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

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

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...

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Bibliographic Details
Main Authors: Yongjie Cao, Yonggang Ma, Xiaotong Yang, Jian Xiong, Yahui Wang, Jianhua Zhang, Zhiqiang Qin, Yijiu Chen, Duarte Nuno Vieira, Feng Chen, Ji Zhang, Ping Huang
Format: Article
Language:English
Published: Oxford University Press 2021-12-01
Series:Forensic Sciences Research
Subjects:
forensic sciences
forensic anthropology
sex estimation
pelvis
deep learning
convolutional neural network
Online Access:http://dx.doi.org/10.1080/20961790.2021.2024369

Internet

http://dx.doi.org/10.1080/20961790.2021.2024369

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