Eichner classification based on panoramic X-ray images using deep learning: A pilot study.

Journal: Bio-medical materials and engineering
PMID: 38848165

Abstract

BACKGROUND: Research using panoramic X-ray images using deep learning has been progressing in recent years. There is a need to propose methods that can classify and predict from image information.

Authors

  • Yuta Otsuka
    Department of Biomaterials Science, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
  • Hiroko Indo
    Department of Maxillofacial Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
  • Yusuke Kawashima
    Department of Maxillofacial Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
  • Tatsuro Tanaka
    Department of Maxillofacial Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
  • Hiroshi Kono
    Department of Maxillofacial Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
  • Masafumi Kikuchi
    Department of Biomaterials Science, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.

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