A novel deep learning-based perspective for tooth numbering and caries detection.

Journal: Clinical oral investigations

Published Date: Feb 27, 2024

Abstract

OBJECTIVES: The aim of this study was automatically detecting and numbering teeth in digital bitewing radiographs obtained from patients, and evaluating the diagnostic efficiency of decayed teeth in real time, using deep learning algorithms.

Authors

Baturalp Ayhan

Department of Restorative Dentistry, Faculty of Dentistry, Kırıkkale University, Kırıkkale, Turkey. baturalpayhan@kku.edu.tr.
Enes Ayan

Department of Computer Engineering, Faculty of Engineering and Architecture, Kırıkkale University, Kırıkkale, Turkey.
Yusuf Bayraktar

Department of Restorative Dentistry, Faculty of Dentistry, Kırıkkale University, Kırıkkale, Turkey.

Keywords

Algorithms Deep Learning Dental Caries Susceptibility Humans Neural Networks, Computer

External Resources

View on PubMed Access via DOI PubMed (38411726)

A novel deep learning-based perspective for tooth numbering and caries detection.

Abstract

Authors

Keywords

External Resources

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