Application of a Deep Learning Artificial Intelligence System for Individual Tooth Identification

• Igarashi Yuriko

  1 Department of Anatomy, Nihon University School of Dentistry at Matsudo, Matsudo, Chiba 271– 8587, Japan

• Kondo Shintaro

  1 Department of Anatomy, Nihon University School of Dentistry at Matsudo, Matsudo, Chiba 271– 8587, Japan

• Kaneko Minami

  Department of Precision Machinery Engineering, Nihon University College of Science and Technology, Funabashi, Chiba 274– 8501, Japan

• Aibara Megumi

  Department of Precision Machinery Engineering, Nihon University College of Science and Technology, Funabashi, Chiba 274– 8501, Japan

• Uchikoba Fumio

  Department of Precision Machinery Engineering, Nihon University College of Science and Technology, Funabashi, Chiba 274– 8501, Japan

Journal

• International Journal of Oral-Medical Sciences

  International Journal of Oral-Medical Sciences 20 (2), 98-108, 2021-10-20

  Research Institute of Oral Science, Nihon University School of Dentistry at Matsudo

Keywords

• artificial intelligence（AI）
• deep learning（DL）
• tooth identification
• mandibular premolars

Details

• CRID: 1390008299688880128
• NII Article ID: 130008106192
• DOI: 10.5466/ijoms.20.98
• ISSN: 21854254
• ISSN: 13479733
• Web Site: https://www.jstage.jst.go.jp/article/ijoms/20/2/20_98/_pdf
• Web Site: https://search.jamas.or.jp/link/ui/2022228406
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN