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Deep learning for cephalometric landmark detection: systematic review and meta-analysis.
Schwendicke, Falk; Chaurasia, Akhilanand; Arsiwala, Lubaina; Lee, Jae-Hong; Elhennawy, Karim; Jost-Brinkmann, Paul-Georg; Demarco, Flavio; Krois, Joachim.
Afiliação
  • Schwendicke F; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité - Universitätsmedizin Berlin, Berlin, Germany. falk.schwendicke@charite.de.
  • Chaurasia A; Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health, Berlin, Germany. falk.schwendicke@charite.de.
  • Arsiwala L; Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health, Berlin, Germany.
  • Lee JH; Department of Oral Medicine and Radiology, King George's Medical University, Lucknow, India.
  • Elhennawy K; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Jost-Brinkmann PG; Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health, Berlin, Germany.
  • Demarco F; Department of Periodontology, Daejeon Dental Hospital, Institute of Wonkwang Dental Research, Wonkwang University College of Dentistry, Daejeon, Korea.
  • Krois J; Department of Orthodontics, Dentofacial Orthopedics and Pedodontics, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Clin Oral Investig ; 25(7): 4299-4309, 2021 Jul.
Article em En | MEDLINE | ID: mdl-34046742
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Idioma: En Ano de publicação: 2021 Tipo de documento: Article