Dental Caries Detection and Classification in CBCT Images Using Deep Learning.

Journal: International dental journal
PMID: 37940474

Abstract

OBJECTIVES: This study aimed to investigate the accuracy of deep learning algorithms to diagnose tooth caries and classify the extension and location of dental caries in cone beam computed tomography (CBCT) images. To the best of our knowledge, this is the first study to evaluate the application of deep learning for dental caries in CBCT images.

Authors

  • Rasool Esmaeilyfard
    Department of Computer Engineering and Information Technology, Shiraz University of Technology, Shiraz, Iran.
  • Haniyeh Bonyadifard
    Department of Computer Engineering and Information Technology, Shiraz University of Technology, Shiraz, Iran.
  • Maryam Paknahad
    Oral, and Dental Disease Research Center, Oral and Maxillofacial Radiology, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran. Electronic address: paknahadmaryam@yahoo.com.

Keywords

External Resources

Popular Topics
Recent Journals