Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: A pilot study.

Journal: International journal of paediatric dentistry
PMID: 34904304

Abstract

BACKGROUND: Supernumerary teeth are a common anomaly and are frequently observed in paediatric patients. To prevent or minimize complications, early diagnosis and treatment is ideal in children with supernumerary teeth.

Authors

  • Yuichi Mine
    Department of Medical System Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Yuko Iwamoto
    Department of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Shota Okazaki
    Department of Medical System Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Kentaro Nakamura
    Department of Medical System Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Saori Takeda
    Department of Medical System Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Tzu-Yu Peng
    School of Dentistry, College of Dentistry, China Medical University, Taichung, 404, Taiwan.
  • Chieko Mitsuhata
    Department of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Naoya Kakimoto
    Department of Oral and Maxillofacial Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Katsuyuki Kozai
    Department of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Takeshi Murayama
    Department of Medical System Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.

Keywords

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