Sex Estimation Through Orbital Measurements: A Machine Learning Approach for Forensic Science
These findings suggest that orbital measurements could potentially serve as reliable predictors for automated sex estimation, contributing to advancements in forensic identification techniques.
Authors
- George A. Tsakotos (ORCID: https://orcid.org/0000-0001-8559-8969)
- Ioannis Paschopoulos
- Stavroula Papadodima (ORCID: https://orcid.org/0000-0001-6311-2024)
- Maria Piagkou (ORCID: https://orcid.org/0000-0002-4831-8005)
- George Triantafyllou (ORCID: https://orcid.org/0009-0001-0122-2436)
- George K. Matsopoulos (ORCID: https://orcid.org/0000-0002-2600-9914)
- George Botis (ORCID: https://orcid.org/0009-0008-2950-0929)
- Konstantinos Papanastasiou
Institutions
- National Technical University of Athens (GR)
- National and Kapodistrian University of Athens (GR)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-12-10
- DOI
- https://doi.org/10.3390/diagnostics14242773
- Citations
- 6
- Primary Topic
- Forensic Anthropology and Bioarchaeology Studies
- Type
- article
- Field-Weighted Citation Impact
- 17.54