An enhanced tooth segmentation and numbering according to FDI notation in bitewing radiographs

BY Tekin, C Ozcan, A Pekince, Y Yasa - Computers in Biology and …, 2022 - Elsevier
Bitewing radiographic imaging is an excellent diagnostic tool for detecting caries and
restorations that are difficult to view in the mouth, particularly at the molar surfaces. Labeling …

A cooperative semi-supervised fuzzy clustering framework for dental X-ray image segmentation

TM Tuan - Expert Systems with Applications, 2016 - Elsevier
Dental X-ray image segmentation (DXIS) is an indispensable process in practical dentistry
for diagnosis of periodontitis diseases from an X-ray image. It has been said that DXIS is one …

[HTML][HTML] A novel technique for dental radiographic image segmentation based on neutrosophic logic

S Datta, N Chaki, B Modak - Decision Analytics Journal, 2023 - Elsevier
Oral diseases are very prevalent worldwide and affect people of all ages. Dentists depend
on x-rays to study the characteristics of oral diseases. The segmentation and analysis of …

Dental segmentation from X-ray images using semi-supervised fuzzy clustering with spatial constraints

TM Tuan - Engineering Applications of Artificial Intelligence, 2017 - Elsevier
In this paper, we propose a novel semi-supervised fuzzy clustering algorithm with spatial
constraints for dental segmentation from X-ray images. The detailed contributions include: i) …

Effect of lower third molar segmentations on automated tooth development staging using a convolutional neural network

R Merdietio Boedi, N Banar, J De Tobel… - Journal of forensic …, 2020 - Wiley Online Library
Staging third molar development is commonly used for age estimation in subadults.
Automated developmental stage allocation to the mandibular left third molar in panoramic …

T-mamba: Frequency-enhanced gated long-range dependency for tooth 3d cbct segmentation

J Hao, L He, KF Hung - arXiv preprint arXiv:2404.01065, 2024 - arxiv.org
Efficient tooth segmentation in three-dimensional (3D) imaging, critical for orthodontic
diagnosis, remains challenging due to noise, low contrast, and artifacts in CBCT images …

[PDF][PDF] A comparison of X-ray image segmentation techniques

C Stolojescu-CriŞan, Ş Holban - Advances in electrical and …, 2013 - academia.edu
Image segmentation operation has a great importance in most medical imaging
applications, by extracting anatomical structures from medical images. There are many …

Decision making based on fuzzy aggregation operators for medical diagnosis from dental X-ray images

TT Ngan, TM Tuan, LH Son, NH Minh, N Dey - Journal of medical systems, 2016 - Springer
Medical diagnosis is considered as an important step in dentistry treatment which assists
clinicians to give their decision about diseases of a patient. It has been affirmed that the …

Digital dental X-ray image segmentation and feature extraction

AE Rad, MSM Rahim, A Norouzi - … Indonesian Journal of …, 2013 - journal.esperg.com
The process of analysis of such images is important in order to improve quantify medical
imaging systems. It is significant to analysis the dental x-ray images we need features of …

A customized convolutional neural network for dental bitewing images segmentation

W Al Nassan, T Bonny, K Obaideen… - … on Electrical and …, 2022 - ieeexplore.ieee.org
Bitewing images are useful for recognizing the most common dental diseases, like tooth
decay and periodontal bone loss. Besides providing important details like the condition of …