Application of deep learning artificial intelligence technique to the classification of clinical orthodontic photos.

Journal: BMC oral health
Published Date: Oct 25, 2022

Abstract

BACKGROUND: Taking facial and intraoral clinical photos is one of the essential parts of orthodontic diagnosis and treatment planning. Among the diagnostic procedures, classification of the shuffled clinical photos with their orientations will be the initial step while it was not easy for a machine to classify photos with a variety of facial and dental situations. This article presents a convolutional neural networks (CNNs) deep learning technique to classify orthodontic clinical photos according to their orientations.

Authors

  • Jiho Ryu
    Department of Orthodontics, School of Dentistry, Dental Research Institute, Seoul National University, 101 Daehakro, Jongro-gu, 03080, Seoul, Korea.
  • Yoo-Sun Lee
    Department of Orthodontics, School of Dentistry, Dental Research Institute, Seoul National University, 101 Daehakro, Jongro-gu, 03080, Seoul, Korea.
  • Seong-Pil Mo
    Department of Orthodontics, School of Dentistry, Dental Research Institute, Seoul National University, 101 Daehakro, Jongro-gu, 03080, Seoul, Korea.
  • Keunoh Lim
    Department of Orthodontics, School of Dentistry, Dental Research Institute, Seoul National University, 101 Daehakro, Jongro-gu, 03080, Seoul, Korea.
  • Seok-Ki Jung
    Clinical instructor, Department of Orthodontics, Korea University Ansan Hospital, Ansan, Korea.
  • Tae-Woo Kim
    Professor, Department of Orthodontics, School of Dentistry, Dental Research Institute, Seoul National University, Seoul, Korea. Electronic address: taewoo@snu.ac.kr.

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