Neural networks for classification of cervical vertebrae maturation: a systematic review.

Journal: The Angle orthodontist
Published Date: Nov 1, 2022

Abstract

OBJECTIVE: To assess the accuracy of identification and/or classification of the stage of cervical vertebrae maturity on lateral cephalograms by neural networks as compared with the ground truth determined by human observers.

Authors

  • Reji Mathew
  • Stephen Palatinus
  • Soumya Padala
  • Abdulrahman Alshehri
    Department of Preventive Dental Sciences, College of Dentistry, Division of Orthodontics, Jazan University, Jazan, Saudi Arabia.
  • Wael Awadh
    Department of Preventive Dental Sciences, College of Dentistry, Division of Orthodontics, Jazan University, Jazan, Saudi Arabia.
  • Shilpa Bhandi
    Department of Restorative Dental Sciences, Divison of Operative Dentistry, College of Dentistry, Jazan University, Saudi Arabia.
  • Jacob Thomas
  • Shankargouda Patil
    College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT, United States.

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