A deep learning Approach based on faster R-CNN for automatic detection and classification of teeth in orthopantomogram radiography images

A Laishram, K Thongam - IETE Journal of Research, 2024 - Taylor & Francis
This paper presents a new method for teeth and anomalies detection and classification
using Faster Region Convolutional Neural Network with Deep Learning. Four classes of …

Detection and classification of dental pathologies using faster-RCNN in orthopantomogram radiography image

A Laishram, K Thongam - 2020 7th international conference on …, 2020 - ieeexplore.ieee.org
An attempt has been made to device a robust method to detect and classify different
oral/dental pathologies using Orthopantomogram (OPD) images based on Faster-Regional …

[HTML][HTML] A validation employing convolutional neural network for the radiographic detection of absence or presence of teeth

M Prados-Privado, J Garcia Villalon… - Journal of Clinical …, 2021 - mdpi.com
Dental radiography plays an important role in clinical diagnosis, treatment and making
decisions. In recent years, efforts have been made on developing techniques to detect …

Automated Detection System Based on Convolution Neural Networks for Retained Root, Endodontic Treated Teeth, and Implant Recognition on Dental Panoramic …

SL Chen, TY Chen, YC Mao, SY Lin… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
For a daily dental practice, the Panoramic (PANO) X-ray film is one of the most commonly
used dental X-rays. One of its important advantages is the coverage of most anatomic …

Detection, segmentation, and numbering of teeth in dental panoramic images with mask regions with convolutional neural network features

AB Oktay, A Gurses - State of the Art in Neural Networks and their …, 2021 - Elsevier
Dental image analysis is important for orthodontics, forensics, and dental treatments like
cavity restoration or implants. In order to build a computer-aided diagnosis system for dental …

Dental material detection based on faster regional convolutional neural networks and shape features

A Imak, A Çelebi, M Türkoğlu, A Şengür - Neural Processing Letters, 2022 - Springer
In this paper, a novel approach is proposed to detect the dental materials in dental
Panoramic images. In general, dental Panoramic images are examined by the dentists to …

Object Detection on Dental X-ray Images Using Region-Based Convolutional Neural Networks

R Hossen, M Arefin, M Nasir Uddin - Machine Intelligence and Data …, 2022 - Springer
In dentistry, Dental X-ray systems help dentists by showing the basic structure of tooth bones
to detect various kinds of dental problems. However, depending only on dentists can …

[HTML][HTML] A deep learning-based approach for the detection of early signs of gingivitis in orthodontic patients using faster region-based convolutional neural networks

DM Alalharith, HM Alharthi, WM Alghamdi… - International Journal of …, 2020 - mdpi.com
Computer-based technologies play a central role in the dentistry field, as they present many
methods for diagnosing and detecting various diseases, such as periodontitis. The current …

Teeth detection algorithm and teeth condition classification based on convolutional neural networks for dental panoramic radiographs

NH Lin, TL Lin, X Wang, WT Kao… - Journal of Medical …, 2018 - ingentaconnect.com
In this paper, algorithms for automatic detection of teeth and teeth condition classification are
proposed for DPR (Dental Panoramic Radiographs) which are taken by dental X-ray camera …

Deep learning based object detection algorithm for the detection of dental diseases and differential treatments

A Thulaseedharan, LP PS - 2022 IEEE 19th India Council …, 2022 - ieeexplore.ieee.org
With a wide range of applications in cosmetic dentistry treatments, and treatment planning,
the use of Artificial Intelligence (AI) and Machine Learning is having a growing influence in …