Your browser doesn't support javascript.
loading
Artificial intelligence-based cephalometric landmark annotation and measurements according to Arnett's analysis: can we trust a bot to do that?
Silva, Thaísa Pinheiro; Hughes, Mariana Mendonça; Menezes, Liciane Dos Santos; de Melo, Maria de Fátima Batista; Freitas, Paulo Henrique Luiz de; Takeshita, Wilton Mitsunari.
Afiliação
  • Silva TP; Departament of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, São Paulo, Brasil.
  • Hughes MM; Department of Dentistry, Undergraduate student of Dentistry, Federal University of Sergipe, Sergipe, Brazil.
  • Menezes LDS; Department of Dentistry, Federal University of Bahia, Salvador, Brazil.
  • de Melo MFB; Department of Dentistry, PhD in Oral Radiology, Federal University of Sergipe, Sergipe, Brazil.
  • Freitas PHL; Department of Dentistry, PhD in Oral Life Sciences (OMF Surgery), Federal University of Sergipe at Lagarto, Sergipe, Brazil.
  • Takeshita WM; Department of Dentistry, PhD in Oral Radiology and Postdoctoral in Integrated Dentistry, Professor of Oral Radiology, Oral Diagnosis and Bioestatistics, Federal University of Sergipe, Sergipe, Brazil.
Dentomaxillofac Radiol ; 51(6): 20200548, 2022 Sep 01.
Article em En | MEDLINE | ID: mdl-33882247

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Software / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Dentomaxillofac Radiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Software / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Dentomaxillofac Radiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil