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Accuracy of automated identification of lateral cephalometric landmarks using cascade convolutional neural networks on lateral cephalograms from nationwide multi-centres.
Kim, Jaerong; Kim, Inhwan; Kim, Yoon-Ji; Kim, Minji; Cho, Jin-Hyoung; Hong, Mihee; Kang, Kyung-Hwa; Lim, Sung-Hoon; Kim, Su-Jung; Kim, Young Ho; Kim, Namkug; Sung, Sang-Jin; Baek, Seung-Hak.
Afiliação
  • Kim J; Department of Orthodontics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kim I; Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kim YJ; Department of Orthodontics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kim M; Department of Orthodontics, College of Medicine, Ewha Woman's University, Seoul, Korea.
  • Cho JH; Department of Orthodontics, Chonnam National University School of Dentistry, Gwangju, Korea.
  • Hong M; Department of Orthodontics, School of Dentistry, Kyungpook National University, Daegu, Korea.
  • Kang KH; Department of Orthodontics, School of Dentistry, Wonkwang University, Iksan, Korea.
  • Lim SH; Department of Orthodontics, College of Dentistry, Chosun University, Gwangju, Korea.
  • Kim SJ; Department of Orthodontics, Kyung Hee University School of Dentistry, Seoul, Korea.
  • Kim YH; Department of Orthodontics, Institute of Oral Health Science, Ajou University School of Medicine, Suwon, Korea.
  • Kim N; Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Sung SJ; Department of Orthodontics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Baek SH; Department of Orthodontics, School of Dentistry, Dental Research Institute, Seoul National University, Seoul, Korea.
Orthod Craniofac Res ; 24 Suppl 2: 59-67, 2021 Dec.
Article em En | MEDLINE | ID: mdl-33973341

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Pontos de Referência Anatômicos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Orthod Craniofac Res Assunto da revista: ODONTOLOGIA / ORTODONTIA Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Pontos de Referência Anatômicos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Orthod Craniofac Res Assunto da revista: ODONTOLOGIA / ORTODONTIA Ano de publicação: 2021 Tipo de documento: Article