Detecting white spot lesions on post-orthodontic oral photographs using deep learning based on the YOLOv5x algorithm: a pilot study.

Journal: BMC oral health
Published Date: Apr 24, 2024

Abstract

BACKGROUND: Deep learning model trained on a large image dataset, can be used to detect and discriminate targets with similar but not identical appearances. The aim of this study is to evaluate the post-training performance of the CNN-based YOLOv5x algorithm in the detection of white spot lesions in post-orthodontic oral photographs using the limited data available and to make a preliminary study for fully automated models that can be clinically integrated in the future.

Authors

  • Pelin Senem Ozsunkar
    Department of Paediatric Dentistry, Faculty of Dentistry, Inonu University, Malatya, Turkey.
  • Duygu Çelİk Özen
    Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Inonu University, Malatya, Turkey.
  • Ahmed Z Abdelkarim
    Division of Oral & Maxillofacial Radiology, College of Dentistry, The Ohio State Universiy, Columbus, OH, USA.
  • Sacide Duman
    Department of Paediatric Dentistry, Faculty of Dentistry, Inonu University, Malatya, 44280, Turkey. sacidetuncduman@gmail.com.
  • Mehmet Uğurlu
    Faculty of Dentistry, Department of Orthodontics, Eskişehir Osmangazi University, Eskisehir, Turkey.
  • Mehmet Rıdvan Demİr
    Department of Orthodontics, Faculty of Dentistry, Ataturk University, Erzurum, Turkey.
  • Batuhan Kuleli
    Faculty of Dentistry, Department of Orthodontics, Eskisehir Osmangazi University, Eskisehir, Turkey.
  • Özer Çelik
    Department of Mathematics and Computer, Faculty of Science and Letters, Eskişehir Osmangazi University, Eskişehir, Turkey.
  • Busra Seda Imamoglu
    Department of Orthodontics, Hamidiye Faculty of Dentistry, University of Health Sciences, Istanbul, Turkey.
  • İbrahim Şevki Bayrakdar
    Department of Oral Diagnosis and Radiology, Faculty of Dentistry, Eskişehir Osmangazi University, Eskişehir, Turkey.
  • Şuayip Burak Duman
    Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Inonu University Malatya, Malatya, Turkey. suayipburakduman@gmail.com.

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