Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: a cross-sectional study.

Journal: Lancet regional health. Americas
Published Date:

Abstract

BACKGROUND: Artificial Intelligence (AI) models hold promise as useful tools in healthcare practice. We aimed to develop and assess AI models for automatic classification of oral potentially malignant disorders (OPMD) and oral squamous cell carcinoma (OSCC) clinical images through a Deep Learning (DL) approach, and to explore explainability using Gradient-weighted Class Activation Mapping (Grad-CAM).

Authors

  • Cristina Saldivia-Siracusa
    Oral Diagnosis Department, Piracicaba Dental School, University of Campinas (FOP-UNICAMP), Piracicaba, São Paulo, Brazil.
  • Eduardo Santos Carlos de Souza
    Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos, São Paulo, Brazil.
  • Arnaldo Vitor Barros da Silva
    Institute of Science and Technology, Federal University of São Paulo, São José dos Campos, São Paulo, Brazil.
  • Anna Luíza Damaceno Araújo
    Head and Neck Surgery Department, University of São Paulo Medical School, São Paulo, Brazil.
  • Caíque Mariano Pedroso
    Departamento de Diagnóstico Oral, Faculdade de Odontologia de Piracicaba, Universidade Estadual de Campinas, Piracicaba, São Paulo, Brazil.
  • Tarcília Aparecida da Silva
    Department of Oral Surgery and Pathology, School of Dentistry, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
  • Maria Sissa Pereira Sant'Ana
    Department of Oral Surgery and Pathology, School of Dentistry, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
  • Felipe Paiva Fonseca
    Department of Oral Surgery and Pathology, School of Dentistry, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.
  • Hélder Antônio Rebelo Pontes
    Service of Oral Pathology, João de Barros Barreto University Hospital, Federal University of Pará, Belém, Brazil.
  • Marcos G Quiles
    Institute of Science and Technology, Federal University of São Paulo (Unifesp), 12247-014 São José dos Campos, SP, 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.
  • 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.
  • Mark W Lingen
    Department of Pathology, University of Chicago, Chicago, IL 60637, USA; Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
  • Luiz Paulo Kowalski
    Department of Head and Neck Surgery and Otorhinolaryngology, AC Camargo Cancer Center, Sao Paulo, Brazil.
  • Keith D Hunter
    Liverpool Head and Neck Center, ISMIB, University of Liverpool, Liverpool, UK.
  • André Carlos Ponce de Leon Ferreira de Carvalho
    Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos, São Paulo, Brazil.
  • Alan Roger Santos-Silva
    Oral Diagnosis Department (Pathology and Semiology), Piracicaba Dental School, University of Campinas, Piracicaba, Brazil.

Keywords

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