Collaborative deep learning model for tooth segmentation and identification using panoramic radiographs

G Chandrashekar, S AlQarni, EE Bumann… - Computers in Biology and …, 2022 - Elsevier
Panoramic radiographs are an integral part of effective dental treatment planning,
supporting dentists in identifying impacted teeth, infections, malignancies, and other dental …

Deep learning-based tooth segmentation methods in medical imaging: A review

X Chen, N Ma, T Xu, C Xu - … Part H: Journal of Engineering in …, 2024 - journals.sagepub.com
Deep learning approaches for tooth segmentation employ convolutional neural networks
(CNNs) or Transformers to derive tooth feature maps from extensive training datasets. Tooth …

Automatic dental biofilm detection based on deep learning

KM Andrade, BPM Silva… - Journal of Clinical …, 2023 - Wiley Online Library
Aim To estimate the automated biofilm detection capacity of the U‐Net neural network on
tooth images. Materials and Methods Two datasets of intra‐oral photographs taken in the …

[HTML][HTML] i-Dent: A virtual assistant to diagnose rare genetic dental diseases

H Kadi, M Kawczynski, S Bendjama, JZ Flores… - Computers in Biology …, 2024 - Elsevier
Rare genetic diseases are difficult to diagnose and this translates in patient's diagnostic
odyssey! This is particularly true for more than 900 rare diseases including orodental …

Spatial Prior-Guided Bi-Directional Cross-Attention Transformers for Tooth Instance Segmentation

P Li, C Gao, C Lian, D Meng - IEEE Transactions on Medical …, 2024 - ieeexplore.ieee.org
Tooth instance segmentation of dental panoramic X-ray images represents a task of
significant clinical importance. Teeth demonstrate symmetry within the upper and lower …

Boosting research on dental panoramic radiographs: a challenging data set, baselines, and a task central online platform for benchmark

BPM Silva, LB Pinheiro, BPP Sobrinho… - Computer Methods in …, 2023 - Taylor & Francis
We address in this study the construction of a public data set of dental panoramic
radiographs. Our objects of interest are the teeth, which are segmented and numbered. We …

YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition

B Beser, T Reis, MN Berber, E Topaloglu, E Gungor… - BMC medical …, 2024 - Springer
Objectives In the interpretation of panoramic radiographs (PRs), the identification and
numbering of teeth is an important part of the correct diagnosis. This study evaluates the …

[HTML][HTML] A novel collaborative learning model for mixed dentition and fillings segmentation in panoramic radiographs

EE Bumann, S Al-Qarni, G Chandrashekar, R Sabzian… - Journal of dentistry, 2024 - Elsevier
Introduction It is critical for dentists to identify and differentiate primary and permanent teeth,
fillings, dental restorations and areas with pathological findings when reviewing dental …

Autonomous dental treatment planning on panoramic x-ray using deep learning based object detection algorithm

F Rashidi Ranjbar, A Zamanifar - Multimedia Tools and Applications, 2024 - Springer
The first stage of digestion starts from the mouth. If the teeth are not in good health, they may
affect the person's eating and cause a disturbance in the digestive system. In addition …

Ai-aided diagnosis of oral X-ray images of periapical films based on deep learning

L Gao, T Xu, M Liu, J Jin, L Peng, X Zhao, J Li, M Yang… - Displays, 2024 - Elsevier
Oral X-ray images provide a useful technical means by which dentists examine teeth for
dental problems, but the diagnostic process is defective due to its over-reliance on dentists' …