Deep convolutional neural network-the evaluation of cervical vertebrae maturation.

Journal: Oral radiology
Published Date:

Abstract

OBJECTIVES: This study aimed to automatically determine the cervical vertebral maturation (CVM) processes on lateral cephalometric radiograph images using a proposed deep learning-based convolutional neural network (CNN) model and to test the success rate of this CNN model in detecting CVM stages using precision, recall, and F1-score.

Authors

  • Gülsün Akay
    Department of Dentomaxillofacial Radiology, Gazi University Faculty of Dentistry, Emek, Ankara, Turkey. akay.gulsun@hotmail.com.
  • M Ali Akcayol
    Department of Computer Engineering, Gazi University Faculty of Engineering, Ankara, Turkey.
  • Kevser Özdem
    Department of Computer Engineering, Gazi University Faculty of Engineering, Ankara, Turkey.
  • Kahraman Güngör
    Department of Dentomaxillofacial Radiology, Gazi University Faculty of Dentistry, Emek, Ankara, Turkey.