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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Detalles Bibliográficos
Autores principales: Cao, Yongjie, Ma, Yonggang, Yang, Xiaotong, Xiong, Jian, Wang, Yahui, Zhang, Jianhua, Qin, Zhiqiang, Chen, Yijiu, Vieira, Duarte Nuno, Chen, Feng, Zhang, Ji, Huang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Regular Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639534/
https://www.ncbi.nlm.nih.gov/pubmed/36353321
http://dx.doi.org/10.1080/20961790.2021.2024369

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639534/
https://www.ncbi.nlm.nih.gov/pubmed/36353321
http://dx.doi.org/10.1080/20961790.2021.2024369

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