Radiographic morphology of canines tested for sexual dimorphism via convolutional-neural-network-based artificial intelligence-Reference-Cited by-同舟云学术

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Radiographic morphology of canines tested for sexual dimorphism via convolutional-neural-network-based artificial intelligence

Published:2024-09 Issue:362 Volume:108 Page:100772
ISSN:1286-0115
Container-title:Morphologie
language:en
Short-container-title:Morphologie

Author:

Franco A.^ORCID,Cornacchia A.P.^ORCID,Moreira D.^ORCID,Miamoto P.^ORCID,Bueno J.^ORCID,Murray J.^ORCID,Heng D.^ORCID,Mânica S.^ORCID,Porto L.^ORCID,Abade A.^ORCID

Funder

American Society of Forensic Odontology

Publisher

Elsevier BV

Reference28 articles.

1. Feasibility and validation of virtual autopsy for dental identification using the Interpol dental codes;Franco;J Forensic Leg Med,2013

2. Clinically detectable dental identifiers observed in intra-oral photographs and extra-oral radiographs, validated for human identification purposes;Angelakopoulos;J Forensic Sci,2017

3. Exploring the use of selfies in human identification;Naidu;J Forensic Leg Med,2022

4. Use of non-clinical smile images for human identification: a systematic review;Franco;J Forensic Odontostomatol,2022

5. 30 years of the ABFO study: reproduction in a Brazilian sample;Pinheiro;Morphologie,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mandibular and dental measurements for sex determination using machine learning;Scientific Reports;2024-04-26

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