Multi-Task Deep Learning for Sex and Age Estimation from Panoramic Radiographs in a Brazilian Young Population

This framework may assist forensic experts and clinicians by providing fast, objective and reproducible estimations of age and sex from routinely acquired panoramic radiographs, potentially improving identification processes in forensic and pediatric contexts.

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Publication Details

Journal
International Dental Journal
Published
2026-01-27
DOI
https://doi.org/10.1016/j.identj.2025.109381
Primary Topic
Forensic Anthropology and Bioarchaeology Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-Task Deep Learning for Sex and Age Estimation from Panoramic Radiographs in a Brazilian Young Population

Jiyong Han, Sang Heon Lim, Sujeong Kim, Min-Suk Heo et al.
International Dental Journal
Forensic Anthropology and Bioarchaeology Studies
article

Multi-Task Deep Learning for Sex and Age Estimation from Panoramic Radiographs in a Brazilian Young Population

Jiyong Han, Sang Heon Lim, Sujeong Kim, Min-Suk Heo, Won-Jin Yi, Matheus Sampaio-Oliveira, Francisco Haiter-Neto, Deborah Queiroz Freitas, Matheus L. Oliveira, Jun-Min Kim, Su Yang
article en

Abstract

This framework may assist forensic experts and clinicians by providing fast, objective and reproducible estimations of age and sex from routinely acquired panoramic radiographs, potentially improving identification processes in forensic and pediatric contexts.

International Dental JournalVol. 76(2)
Houston Methodist (US), Seoul National University (KR), Universidade Estadual de Campinas (UNICAMP) (BR), Hansung University (KR), Seoul National University Dental Hospital (KR)
Gender equality
Openalex Percentile: Top 76%
Forensic Anthropology and Bioarchaeology Studies
DOIOpen Access PDFOpenAlex
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