AggregateNet: A deep learning model for automated classification of cervical vertebrae maturation stages.

Journal: Orthodontics & craniofacial research
Published Date: Mar 13, 2023

Abstract

OBJECTIVE: A study of supervised automated classification of the cervical vertebrae maturation (CVM) stages using deep learning (DL) network is presented. A parallel structured deep convolutional neural network (CNN) with a pre-processing layer that takes X-ray images and the age as the input is proposed.

Authors

  • Salih Furkan Atici
    Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, Illinois, United States of America.
  • Rashid Ansari
    Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, Illinois, United States of America.
  • Veerasathpurush Allareddy
    Department Head and Brodie Craniofacial Endowed Chair, Department of Orthodontics - University of Illinois at Chicago College of Dentistry, Chicago, IL, USA.
  • Omar Suhaym
    Department of Oral and Maxillofacial Surgery, College of Dentistry, University of Illinois, College of Dentistry, Chicago, Illinois, United States of America.
  • Ahmet Enis Cetin
    Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, Illinois, United States of America.
  • Mohammed H Elnagar

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