Evaluation of Caries Detection on Bitewing Radiographs: A Comparative Analysis of the Improved Deep Learning Model and Dentist Performance
The results emphasize the potential of the YOLOv9c model to assist dentists in clinical settings, offering accurate and efficient support for caries detection and contributing to improved patient outcomes.
Authors
- Baturalp Ayhan (ORCID: https://orcid.org/0000-0002-7488-895X)
- Enes Ayan (ORCID: https://orcid.org/0000-0002-5463-8064)
- Yusuf Bayraktar (ORCID: https://orcid.org/0000-0001-6250-5651)
- Gökhan Karadağ (ORCID: https://orcid.org/0000-0001-6489-3643)
Institutions
- Bursa Uludağ Üni̇versi̇tesi̇ (TR)
- Kırıkkale University (TR)
Publication Details
- Journal
- Journal of Esthetic and Restorative Dentistry
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1111/jerd.13470
- Citations
- 10
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 17.91