Segmentation of Cemento-Osseous Dysplasias Using an Artificial Intelligence Algorithm
Automated segmentation of cemento-osseous lesions, where radiological images play a critical role in both diagnosis and follow-up, has the potential to enable precise and consistent definition of lesion boundaries and standardize the follow-up process, enabling more reliable data for long-term studies.
Authors
- Oguzhan Altun
- İbrahim Şevki Bayrakdar (ORCID: https://orcid.org/0000-0001-5036-9867)
- Duygu Çelik Özen
- Şuayip Burak Duman
Institutions
- Inonu University (TR)
- Eskişehir Osmangazi University (TR)
Publication Details
- Journal
- International Dental Journal
- Published
- 2026-01-03
- DOI
- https://doi.org/10.1016/j.identj.2025.109340
- Citations
- 3
- Primary Topic
- Bone Tumor Diagnosis and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 140.39