Pulse Explore Journal Club Debates Trending Researchers Journals

Home Explore Journal Club Trending

⌘+K

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

February 27, 2024Clinical Oral Investigations17 citationsOpen Access

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

View Full Paper

BABaturalp Ayhan EAEnes Ayan YBYusuf Bayraktar

Key Points

Key points are not available for this paper at this time.

Abstract

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.

Ask AI

Helpful

Bookmark

Share

View Full Paper

Ask AI

Helpful

Bookmark

Share

View Full Paper

Cite This Study

Ayhan et al. (2024) studied this question.

synapsesocial.com/papers/68e77566b6db6435876e9fa5 https://doi.org/10.1007/s00784-024-05566-w

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Detection of proximal caries in conventional and digital radiographs: an in vitro study.2008 · 22 citations
2Classification and numbering of teeth in dental bitewing images2004 · 126 citations
3Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography2018 · 210 citations
4Artificial Intelligence in Dentistry: Chances and Challenges2020 · 1,361 citations
5An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs2020 · 81 citations