Performance evaluation of deep learning models for overbite classification on cephalometric radiographs
The findings of this study highlight the potential of deep learning models to accurately and reliably classify cephalometric overbite categories without the need for conventional cephalometric analysis.
Authors
- Mehmet Birol Özel (ORCID: https://orcid.org/0000-0002-2984-9468)
- Mehmet Çakmak (ORCID: https://orcid.org/0000-0002-1232-2475)
- Sultan Büşra Ay Kartbak
Institutions
- Kocaeli Üniversitesi (TR)
- Sinop University (TR)
Publication Details
- Journal
- European Oral Research
- Published
- 2025-09-29
- DOI
- https://doi.org/10.26650/eor.20251689033
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Kocaeli Üniversitesi