Deep learning for automated detection and numbering of permanent teeth on panoramic images.

Journal: Dento maxillo facial radiology
Published Date: Oct 13, 2021

Abstract

OBJECTIVE: This study aimed to evaluate an automated detection system to detect and classify permanent teeth on orthopantomogram (OPG) images using convolutional neural networks (CNNs).

Authors

  • Mohamed Estai
    The Australian e-Health Research Centre, CSIRO, Floreat, Australia.
  • Marc Tennant
    School of Human Sciences, The University of Western Australia, Crawley, Australia.
  • Dieter Gebauer
    School of Human Sciences, The University of Western Australia, Crawley, Australia.
  • Andrew Brostek
    The UWA Dental School, The University of Western Australia, Crawley, Australia.
  • Janardhan Vignarajan
    Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Perth, Western Australia, Australia.
  • Maryam Mehdizadeh
    The Australian e-Health Research Centre, CSIRO, Floreat, Australia.
  • Sajib Saha
    Doheny Eye Institute, Los Angeles, CA, 90033, USA.

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