Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives

G Silva, L Oliveira, M Pithon - Expert Systems with Applications, 2018 - Elsevier
This review presents an in-depth study of the literature on segmentation methods applied in
dental imaging. Several works on dental image segmentation were studied and categorized …

Deep learning for automatic image segmentation in stomatology and its clinical application

D Luo, W Zeng, J Chen, W Tang - Frontiers in Medical Technology, 2021 - frontiersin.org
Deep learning has become an active research topic in the field of medical image analysis. In
particular, for the automatic segmentation of stomatological images, great advances have …

Deep instance segmentation of teeth in panoramic X-ray images

G Jader, J Fontineli, M Ruiz, K Abdalla… - 2018 31st SIBGRAPI …, 2018 - ieeexplore.ieee.org
In dentistry, radiological examinations help specialists by showing structure of the tooth
bones with the goal of screening embedded teeth, bone abnormalities, cysts, tumors …

Advancements in oral and maxillofacial surgery medical images segmentation techniques: An overview

L Zhang, W Li, J Xu, H Zhou, G Li, K Ai - Journal of Dentistry, 2023 - Elsevier
Objectives: This article reviews recent advances in computer-aided segmentation methods
for oral and maxillofacial surgery and describes the advantages and limitations of these …

Exploiting multimodal CNN architecture for automated teeth segmentation on dental panoramic X-ray images

S Arora, SK Tripathy, R Gupta… - Proceedings of the …, 2023 - journals.sagepub.com
Panoramic X-ray images are the major source used in field of dental image segmentation.
However, such images suffers from the disturbances like low contrast, presence of jaw …

A survey of dental caries segmentation and detection techniques

V Majanga, S Viriri - The Scientific World Journal, 2022 - Wiley Online Library
Dental caries detection, in the past, has been a challenging task given the amount of
information got from various radiographic images. Several methods have been introduced to …

Ctooth: a fully annotated 3d dataset and benchmark for tooth volume segmentation on cone beam computed tomography images

W Cui, Y Wang, Q Zhang, H Zhou, D Song… - … on Intelligent Robotics …, 2022 - Springer
Abstract 3D tooth segmentation is a prerequisite for computer-aided dental diagnosis and
treatment. However, segmenting all tooth regions manually is subjective and time …

Toothpix: Pixel-level tooth segmentation in panoramic x-ray images based on generative adversarial networks

W Cui, L Zeng, B Chong… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
Accurate tooth segmentation in panoramic X-ray images is an essential stage before clinical
surgery. This paper presents a deep segmentation network ToothPix, which leverages …

Ctooth+: A large-scale dental cone beam computed tomography dataset and benchmark for tooth volume segmentation

W Cui, Y Wang, Y Li, D Song, X Zuo, J Wang… - MICCAI Workshop on …, 2022 - Springer
Accurate tooth volume segmentation is a prerequisite for computer-aided dental analysis.
Deep learning-based tooth segmentation methods have achieved satisfying performances …

Automatic teeth segmentation on panoramic X-rays using deep neural networks

R Nader, A Smorodin… - 2022 26th …, 2022 - ieeexplore.ieee.org
In order to build an intelligent dental care process that both facilitates the treatment and
improves the diagnosis, an accurate tooth segmentation and recognition on panoramic X …