Use of Artificial Intelligence in the Classification of Elementary Oral Lesions from Clinical Images.

Journal: International journal of environmental research and public health
Published Date: Feb 22, 2023

Abstract

OBJECTIVES: Artificial intelligence has generated a significant impact in the health field. The aim of this study was to perform the training and validation of a convolutional neural network (CNN)-based model to automatically classify six clinical representation categories of oral lesion images.

Authors

  • Rita Fabiane Teixeira Gomes
    Department of Oral Pathology, Faculdade de Odontologia, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90035-003, Brazil.
  • Jean Schmith
    Polytechnic School, University of Vale do Rio dos Sinos-UNISINOS, São Leopoldo 93022-750, Brazil.
  • Rodrigo Marques de Figueiredo
    Polytechnic School, University of Vale do Rio dos Sinos-UNISINOS, São Leopoldo 93022-750, Brazil.
  • Samuel Armbrust Freitas
    Department of Applied Computing, University of Vale do Rio dos Sinos-UNISINOS, São Leopoldo 93022-750, Brazil.
  • Giovanna Nunes Machado
    Polytechnic School, University of Vale do Rio dos Sinos-UNISINOS, São Leopoldo 93022-750, Brazil.
  • Juliana Romanini
    Oral Medicine, Otorhynolaringology Service, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-003, Brazil.
  • Vinicius Coelho Carrard
    Department of Oral Pathology, Faculdade de Odontologia, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90035-003, Brazil.

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