Analysis of deep learning techniques for dental informatics: a systematic literature review

S AbuSalim, N Zakaria, MR Islam, G Kumar, N Mokhtar… - Healthcare, 2022 - mdpi.com
Within the ever-growing healthcare industry, dental informatics is a burgeoning field of study.
One of the major obstacles to the health care system's transformation is obtaining …

Descriptive analysis of dental X-ray images using various practical methods: A review

A Kumar, HS Bhadauria, A Singh - PeerJ Computer Science, 2021 - peerj.com
In dentistry, practitioners interpret various dental X-ray imaging modalities to identify tooth-
related problems, abnormalities, or teeth structure changes. Another aspect of dental …

Clinically applicable artificial intelligence system for dental diagnosis with CBCT

M Ezhov, M Gusarev, M Golitsyna, JM Yates… - Scientific reports, 2021 - nature.com
In this study, a novel AI system based on deep learning methods was evaluated to
determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks …

A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films

H Chen, K Zhang, P Lyu, H Li, L Zhang, J Wu… - Scientific reports, 2019 - nature.com
We propose using faster regions with convolutional neural network features (faster R-CNN)
in the TensorFlow tool package to detect and number teeth in dental periapical films. To …

Tufts dental database: a multimodal panoramic x-ray dataset for benchmarking diagnostic systems

K Panetta, R Rajendran, A Ramesh… - IEEE journal of …, 2021 - ieeexplore.ieee.org
The application of Artificial Intelligence in dental healthcare has a very promising role due to
the abundance of imagery and non-imagery-based clinical data. Expert analysis of dental …

Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs

MC Kılıc, IS Bayrakdar, Ö Çelik, E Bilgir… - Dentomaxillofacial …, 2021 - academic.oup.com
Objective: This study evaluated the use of a deep-learning approach for automated
detection and numbering of deciduous teeth in children as depicted on panoramic …

Artificial intelligence application in assessment of panoramic radiographs

Ł Zadrożny, P Regulski, K Brus-Sawczuk… - Diagnostics, 2022 - mdpi.com
The aim of this study was to assess the reliability of the artificial intelligence (AI) automatic
evaluation of panoramic radiographs (PRs). Thirty PRs, covering at least six teeth with the …

An effective teeth recognition method using label tree with cascade network structure

K Zhang, J Wu, H Chen, P Lyu - Computerized Medical Imaging and …, 2018 - Elsevier
In this article, we apply the deep learning technique to medical field for the teeth detection
and classification of dental periapical radiographs, which is important for the medical curing …

An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs

Y Yasa, Ö Çelik, IS Bayrakdar, A Pekince… - Acta Odontologica …, 2021 - Taylor & Francis
Objectives Radiological examination has an important place in dental practice, and it is
frequently used in intraoral imaging. The correct numbering of teeth on radiographs is a …

A system for human identification from X-ray dental radiographs

O Nomir, M Abdel-Mottaleb - Pattern Recognition, 2005 - Elsevier
Forensic odontology is the branch of forensics that deals with human identification based on
dental features. In this paper, we present a system for automating that process by identifying …