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 …

MC-Net: Multiple max-pooling integration module and cross multi-scale deconvolution network

H You, L Yu, S Tian, X Ma, Y Xing, N Xin… - Knowledge-Based Systems, 2021 - Elsevier
To better retain the deep features of an image and solve the sparsity problem of the end-to-
end segmentation model, we propose a new deep convolutional network model for medical …

An artificial intelligence system using machine-learning for automatic detection and classification of dental restorations in panoramic radiography

R Abdalla-Aslan, T Yeshua, D Kabla, I Leichter… - Oral surgery, oral …, 2020 - Elsevier
Objectives The aim of this study was to develop a computer vision algorithm based on
artificial intelligence, designed to automatically detect and classify various dental …

Human gender prediction based on deep transfer learning from panoramic radiograph images

I Atas - arXiv preprint arXiv:2205.09850, 2022 - arxiv.org
Panoramic Dental Radiography (PDR) image processing is one of the most extensively
used manual methods for gender determination in forensic medicine. With the assistance of …

Characterization of dental pathologies using digital panoramic X-ray images based on texture analysis

A Jatti, R Joshi - … 39th annual international conference of the …, 2017 - ieeexplore.ieee.org
Dental caries and the cysts of jaws are frequently occurring pathologies encountered in a
dental practice. Imaging of these dental anomalies is done with radiographic examination …

[HTML][HTML] Trainable WEKA (Waikato Environment for Knowledge Analysis) segmentation tool: machine-learning-enabled segmentation on features of panoramic …

N Kanuri, AZ Abdelkarim, SA Rathore - Cureus, 2022 - ncbi.nlm.nih.gov
Introduction: Segmentation of dental radiographs is a comprehensive subject in oral care
and diagnosis. It is the process of delineating anatomical structures to simplify the diagnostic …

Dental radiography segmentation using expectation-maximization clustering and grasshopper optimizer

R Qaddoura, WA Manaseer, MAM Abushariah… - Multimedia Tools and …, 2020 - Springer
Image segmentation is a popular technique that is used for extracting information from
images, which has also gained a lot of interest lately due to its importance in different …

Mask refinement network for tooth segmentation on panoramic radiographs

L Niu, S Zhong, Z Yang, B Tan, J Zhao… - Dentomaxillofacial …, 2024 - academic.oup.com
Objectives Instance-level tooth segmentation extracts abundant localization and shape
information from panoramic radiographs (PRs). The aim of this study was to evaluate the …

Instance segmentation and labeling of teeth from dental X-ray using region based convolutional neural network

S Rodda, V Kovela, S Dokula - Full Length Article, 2022 - americaspg.com
Radiological Examination of teeth is a primary step that a dentist usually takes to diagnose
the problem before further treatment. The diagnosis involves searching for diseases ranging …

Classification of Digital Dental X-ray images using machine learning

S Divakaran, K Vasanth, D Suja… - … conference on Bio …, 2021 - ieeexplore.ieee.org
Dental diseases like dental anomalies, periapical and dental caries is increasing day by day
in children and adults. Artificial intelligence and neural network with its application in …