Automatic caries detection in bitewing radiographs: part I-deep learning.

Journal: Clinical oral investigations
Published Date: Nov 16, 2023

Abstract

OBJECTIVE: The aim of this work was to assemble a large annotated dataset of bitewing radiographs and to use convolutional neural networks to automate the detection of dental caries in bitewing radiographs with human-level performance.

Authors

  • Lukáš Kunt
    Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic.
  • Jan Kybic
    Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic. Electronic address: kybic@fel.cvut.cz.
  • Valéria Nagyová
    Institute of Dental Medicine, First Faculty of Medicine of the Charles University and General University Hospital, Prague, Czech Republic.
  • Antonín Tichý
    Institute of Dental Medicine, First Faculty of Medicine of the Charles University and General University Hospital, Prague, Czech Republic.

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