The use of deep learning state-of-the-art architectures for oral epithelial dysplasia grading: A comparative appraisal.

Journal: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
Published Date:

Abstract

BACKGROUND: Dysplasia grading systems for oral epithelial dysplasia are a source of disagreement among pathologists. Therefore, machine learning approaches are being developed to mitigate this issue.

Authors

  • Anna Luíza Damaceno Araújo
    Oral Diagnosis Department, Piracicaba Dental School, University of Campinas (FOP-UNICAMP), Piracicaba, São Paulo, Brazil.
  • Viviane Mariano da Silva
    Institute of Science and Technology, Federal University of São Paulo, São José dos Campos, Brazil.
  • Matheus Cardoso Moraes
    Institute of Science and Technology, Federal University of São Paulo (ICT-Unifesp), São José dos Campos, São Paulo, Brazil.
  • Henrique Alves de Amorim
    Institute of Science and Technology, Federal University of São Paulo, São José dos Campos, Brazil.
  • Felipe Paiva Fonseca
    Department of Oral Surgery and Pathology, School of Dentistry, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.
  • Maria Sissa Pereira Sant'Ana
    Department of Oral Surgery and Pathology, School of Dentistry, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.
  • Ricardo Alves Mesquita
    Department of Oral Surgery and Pathology, School of Dentistry, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.
  • Bruno Augusto Linhares Almeida Mariz
    Serviço de Odontologia, Hospital Vila Nova Star, Rede D'Or, São Paulo, Brazil.
  • Hélder Antônio Rebelo Pontes
    Oral Diagnosis Department (Pathology and Semiology), Piracicaba Dental School, University of Campinas, Piracicaba, Brazil; Oral Pathology Department, João de Barros Barreto University Hospital, Federal University of Pará, Belém, Brazil. Electronic address: Harp@ufpa.br.
  • Lucas Lacerda de Souza
    Oral Diagnosis Department (Pathology and Semiology), Piracicaba Dental School, University of Campinas, Piracicaba, Brazil; Oral Pathology Department, João de Barros Barreto University Hospital, Federal University of Pará, Belém, Brazil.
  • Cristina Saldivia-Siracusa
    Oral Diagnosis Department, Piracicaba Dental School, University of Campinas (FOP-UNICAMP), Piracicaba, São Paulo, Brazil.
  • Syed Ali Khurram
    Senior Clinical Lecturer, Consultant Oral Pathologist, University of Sheffield, Sheffield, UK.
  • Alexander T Pearson
    Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Manoela Domingues Martins
    Department of Oral Pathology, School of Dentistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
  • Márcio Ajudarte Lopes
    Oral Diagnosis Department (Pathology and Semiology), Piracicaba Dental School, University of Campinas, Piracicaba, Brazil.
  • Pablo Agustin Vargas
    Oral Diagnosis Department, Piracicaba Dental School, University of Campinas (FOP-UNICAMP), Piracicaba, São Paulo, Brazil.
  • Luiz Paulo Kowalski
    Department of Head and Neck Surgery and Otorhinolaryngology, AC Camargo Cancer Center, Sao Paulo, Brazil.
  • Alan Roger Santos-Silva
    Oral Diagnosis Department (Pathology and Semiology), Piracicaba Dental School, University of Campinas, Piracicaba, Brazil.