Real-time segmentation and detection of ponticulus posticus in lateral cephalometric radiographs using YOLOv8: a step towards enhanced clinical evaluation.

Journal: BMC oral health
Published Date:

Abstract

OBJECTIVES: Ponticulus posticus (PP) is a bony structure in the cervical spine, often difficult to identify in radiographic images, and its detection is important for both orthodontic diagnosis and clinical decision-making related to craniovertebral pathologies. The purpose of this study is to develop a deep learning-based approach for detecting the PP in lateral cephalometric radiographs using the YOLOv8-seg model.

Authors

  • Mehmet Akyuz
    Urology Clinic, Haydarpasa Numune SUAM, University of Health Sciences, Istanbul, Türkiye.
  • Seyda Besnili
    Software Engineer at a Private Company, Konya, Türkiye.
  • Guldane Magat
    Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, Necmettin Erbakan University, Konya, Türkiye. gul_dent@hotmail.com.
  • Murat Ceylan
    Faculty of Engineering and Natural Sciences, Department of Electrical and Electronics Engineering, Konya Technical University, Konya, Turkey.