Automated periodontal assessment in orthodontic patients: a dual CNN framework.

Journal: Clinical oral investigations
Published Date: Jun 2, 2025

Abstract

OBJECTIVE: The aim of this study was to develop convolutional neural network (CNN)-based systems to diagnose calculus, plaque, gingival hyperplasia and gingival inflammation in intraoral images from orthodontic patients.

Authors

  • Ebru Yurdakurban
    Department of Orthodontics, Gulhane Faculty of Dental Medicine, University of Health Sciences, Ankara, Türkiye.
  • Ali Batuhan Bayırlı
    Faculty of Dentistry, Department of Periodontology, Muğla Sıtkı Koçman University, Muğla, Turkey.
  • Mehmetcan Uytun
    Faculty of Dentistry, Department of Periodontology, Muğla Sıtkı Koçman University, Muğla, Turkey.
  • Öznur Suçeken
    Faculty of Technology, Information Systems Engineering, Muğla Sıtkı Koçman University, Muğla, Turkey.
  • Onur Karasoy
    Faculty of Technology, Information Systems Engineering, Muğla Sıtkı Koçman University, Muğla, Turkey.
  • Osman Özkaraca
    Faculty of Technology, Information Systems Engineering, Muğla Sıtkı Koçman University, Muğla, Turkey.
  • Kübra Gülnur Topsakal
    Department of Orthodontics, Gulhane Faculty of Dental Medicine, University of Health Sciences, Ankara, Turkey.

Keywords

External Resources

Popular Topics
Recent Journals