Evaluating the accuracy of sex estimation from human tooth volume: leveraging automated AI segmentation and comparative analysis of machine learning algorithms
- DOI
- 10.1186/s13005-026-00633-x
- Published
- 2026-06-11
- Container
- Head & Face Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s13005-026-00633-x,
title = {Evaluating the accuracy of sex estimation from human tooth volume: leveraging automated AI segmentation and comparative analysis of machine learning algorithms},
author = {Junyan Wang and Xiangdong Liu and Jingxin Zhang and Jianing Wei and Jiajun Liu and Chengbo Wang and Enbin Zhang and Li Yang and Tianyi Song and Shujun Li and Shujin Li and Bin Cong},
year = {2026},
journal = {Head \& Face Medicine},
doi = {10.1186/s13005-026-00633-x},
url = {https://doi.org/10.1186/s13005-026-00633-x}
}RIS
TY - JOUR TI - Evaluating the accuracy of sex estimation from human tooth volume: leveraging automated AI segmentation and comparative analysis of machine learning algorithms AU - Junyan Wang AU - Xiangdong Liu AU - Jingxin Zhang AU - Jianing Wei AU - Jiajun Liu AU - Chengbo Wang AU - Enbin Zhang AU - Li Yang AU - Tianyi Song AU - Shujun Li AU - Shujin Li AU - Bin Cong PY - 2026 JO - Head & Face Medicine DO - 10.1186/s13005-026-00633-x UR - https://doi.org/10.1186/s13005-026-00633-x ER -
APA
Wang, J., Liu, X., Zhang, J., Wei, J., Liu, J., Wang, C., Zhang, E., Yang, L., Song, T., Li, S., Li, S., & Cong, B. (2026). Evaluating the accuracy of sex estimation from human tooth volume: leveraging automated AI segmentation and comparative analysis of machine learning algorithms. Head & Face Medicine. https://doi.org/10.1186/s13005-026-00633-x
Source records
- crossref · retrieved 2026-09-26T10:33:56.894Z