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Use of the deep learning approach to measure alveolar bone level.
Lee, Chun-Teh; Kabir, Tanjida; Nelson, Jiman; Sheng, Sally; Meng, Hsiu-Wan; Van Dyke, Thomas E; Walji, Muhammad F; Jiang, Xiaoqian; Shams, Shayan.
Afiliação
  • Lee CT; Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Kabir T; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Nelson J; Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Sheng S; Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Meng HW; Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Van Dyke TE; Center for Clinical and Translational Research, The Forsyth Institute, Cambridge, Massachusetts, USA.
  • Walji MF; Department of Oral Medicine, Infection, and Immunity, Faculty of Medicine, Harvard University, Boston, Massachusetts, USA.
  • Jiang X; Department of Diagnostic and Biomedical Sciences, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Shams S; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
J Clin Periodontol ; 49(3): 260-269, 2022 03.
Article em En | MEDLINE | ID: mdl-34879437
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Periodontite / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Periodontite / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article