DEEP LEARNING-DRIVEN SEGMENTATION OF DENTAL IMPLANTS AND PERI-IMPLANTITIS DETECTION IN ORTHOPANTOMOGRAPHS: A NOVEL DIAGNOSTIC TOOL
The deep learning-based approach for segmentation and classification of dental implants and peri-implantitis in OPGs is highly effective, providing reliable tools for enhancing clinical diagnosis and treatment planning.
Authors
- Giuseppe Minervini (ORCID: https://orcid.org/0000-0002-8309-1272)
- Ali Temelci (ORCID: https://orcid.org/0000-0001-8402-7478)
- Gürkan Ünsal (ORCID: https://orcid.org/0000-0001-7832-4249)
- Nurullah Akkaya (ORCID: https://orcid.org/0000-0002-4070-7444)
- Oğuz Buhara
- Erdoğan Kıbçak
Institutions
- Western University (CA)
- University of Kyrenia (CY)
- Near East University (CY)
- Saveetha University (IN)
Publication Details
- Journal
- Journal of Evidence Based Dental Practice
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1016/j.jebdp.2024.102058
- Citations
- 8
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 3.95