Detection of Dens Invaginatus on Panoramic Radiographs Using Deep Learning Algorithms
It was observed that the YOLO models were successful in detecting dens invaginatus. It is believed that deep learning-supported systems could be integrated into pediatric dentistry practice and serve as a decision support mechanism.
Authors
- Burcu Güçyetmez Topal (ORCID: https://orcid.org/0000-0002-9932-9169)
- Esra Nur Akgül (ORCID: https://orcid.org/0000-0002-3320-1525)
Institutions
- Afyonkarahisar Sağlık Bilimleri Üniversitesi
- Afyon Kocatepe University (TR)
Publication Details
- Journal
- International Journal of Paediatric Dentistry
- Published
- 2025-08-03
- DOI
- https://doi.org/10.1111/ipd.70027
- Citations
- 1
- Primary Topic
- dental development and anomalies
- Type
- article
- Field-Weighted Citation Impact
- 0.81