Improving accuracy of early dental carious lesions detection using deep learning-based automated method.

Journal: Clinical oral investigations
Published Date: Oct 31, 2023

Abstract

OBJECTIVE: To investigate the effectiveness of a convolutional neural network (CNN) in detecting healthy teeth and early carious lesions on occlusal surfaces and to assess the applicability of this deep learning algorithm as an auxiliary aid.

Authors

  • Paula Dresch Portella
    Stomatology Department, Universidade Federal do Paraná, Avenida Prefeito Lothário Meissner, 632, Jardim Botânico, Curitiba, PR, 80210-170, Brazil. pauladresch@hotmail.com.
  • Lucas Ferrari de Oliveira
    Informatic Department, Universidade Federal do Paraná, Curitiba, PR, Brazil.
  • Mateus Felipe de Cássio Ferreira
    Informatic Department, Universidade Federal do Paraná, Curitiba, PR, Brazil.
  • Bruna Cristine Dias
    Stomatology Department, Universidade Federal do Paraná, Avenida Prefeito Lothário Meissner, 632, Jardim Botânico, Curitiba, PR, 80210-170, Brazil.
  • Juliana Feltrin de Souza
    Stomatology Department, Universidade Federal do Paraná, Avenida Prefeito Lothário Meissner, 632, Jardim Botânico, Curitiba, PR, 80210-170, Brazil.
  • Luciana Reichert da Silva Assunção
    Stomatology Department, Universidade Federal do Paraná, Avenida Prefeito Lothário Meissner, 632, Jardim Botânico, Curitiba, PR, 80210-170, Brazil.

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