Fully automated method for dental age estimation using the ACF detector and deep learning
Abstract Background Dental age estimation plays an important role in identifying an unknown person. In forensic science, estimating age with high accuracy depends on the experience of the practitioner. Previous studies proposed classification of tooth development of the mandibular third molar by fol...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2022-11-01
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| Series: | Egyptian Journal of Forensic Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41935-022-00314-1 |