A pilot study of a deep learning approach to submerged primary tooth classification and detection.

Journal: International journal of computerized dentistry

PMID: 33634681

Abstract

AIM: The aim of the study was to compare the success and reliability of an artificial intelligence (AI) application in the detection and classification of submerged teeth in panoramic radiographs.

Authors

Secil Caliskan
Nuray Tuloglu
Özer Çelik

Department of Mathematics and Computer, Faculty of Science and Letters, Eskişehir Osmangazi University, Eskişehir, Turkey.
Canan Ozdemir
Sena Kizilaslan
Sule Bayrak

Keywords

Artificial Intelligence Child Deep Learning Humans Pilot Projects Reproducibility of Results Tooth, Deciduous

External Resources

View on PubMed Access via DOI PubMed (33634681)

A pilot study of a deep learning approach to submerged primary tooth classification and detection.

Abstract

Authors

Keywords

External Resources

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