Assessment of landmark detection in cephalometric radiographs with different conditions of brightness and contrast using the an artificial intelligence software.

Abstract

Authors

• Liciane Dos Santos Menezes
  Department of Dentistry, Federal University of Bahia, Salvador, Brazil.
• Thaísa Pinheiro Silva
  Departament of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, São Paulo, Brasil.
• Marcos Antônio Lima Dos Santos
  Department of Oral Diagnosis, University of São Paulo, São Paulo, Brazil.
• Mariana Mendonça Hughes
  Department of Dentistry, Undergraduate student of Dentistry, Federal University of Sergipe, Sergipe, Brazil.
• Saulo Dos Reis Mariano Souza
  Department of Dentistry, Federal University of Sergipe, Sergipe, Brazil.
• Patrícia Miranda Leite Ribeiro
  Department of Oral Diagnosis, Federal University of Bahia, Bahia, Brazil.
• Paulo Henrique Luiz de Freitas
  Department of Dentistry, PhD in Oral Life Sciences (OMF Surgery), Federal University of Sergipe at Lagarto, Sergipe, Brazil.
• Wilton Mitsunari Takeshita
  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.

Keywords

External Resources