Optimized classification of dental implants using convolutional neural networks and pre-trained models with preprocessed data.

Journal: BMC oral health
PMID:

Abstract

OBJECTIVE: This study evaluates the performance of various classifiers and pre-trained models for dental implant state classification using preprocessed radiography images with masks.

Authors

  • Reza Ahmadi Lashaki
    Department of Computer Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.
  • Zahra Raeisi
    Department of Computer Science, University of Fairleigh Dickinson, Vancouver Campus, Vancouver, Canada.
  • Nasim Razavi
    Department of Oral and Maxillofacial Radiology, School of Dentistry, North Khorasan University of Medical Sciences, Bojnurd, Iran.
  • Mehdi Goodarzi
    Department of Computer Software Engineering, Sepidan Branch, Islamic Azad University, Sepidan, Iran.
  • Hossein Najafzadeh
    Department of Medical Bioengineering, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.