Deep-Learning-Based AI-Model for Predicting Dental Plaque in the Young Permanent Teeth of Children Aged 8–13 Years
This finding highlights the potential of AI-driven technologies in enhancing the accuracy and reliability of dental plaque detection and segmentation in pediatric dentistry.
Authors
- Banu Çiçek Tez (ORCID: https://orcid.org/0000-0002-6053-5547)
- Başak Kızıltan Eliaçık (ORCID: https://orcid.org/0000-0003-1848-3007)
- Yasin Güzel (ORCID: https://orcid.org/0000-0002-2555-2800)
- Zafer Aydın (ORCID: https://orcid.org/0000-0001-7686-6298)
Institutions
- Istanbul Medipol University (TR)
- Suleyman Demirel University (KZ)
- Sağlık Bilimleri Üniversitesi (TR)
- Ankara Medipol Üniversitesi
- University of Health Sciences Antigua (AG)
- Abdullah Gül University (TR)
Publication Details
- Journal
- Children
- Published
- 2025-04-07
- DOI
- https://doi.org/10.3390/children12040475
- Citations
- 4
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 7.16
Funders
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu