AIMC Topic: Radiography, Panoramic
Clear Filters Showing 71 to 80 of 215 articles
Image segmentation of impacted mesiodens using deep learning.
The Journal of clinical pediatric dentistry
May 3, 2024
This study aimed to evaluate the performance of deep learning algorithms for the classification and segmentation of impacted mesiodens in pediatric panoramic radiographs. A total of 850 panoramic radiographs of pediatric patients (aged 3-9 years) was...
Comparison of mandibular morphometric parameters in digital panoramic radiography in gender determination using machine learning.
Oral radiology
Apr 16, 2024
OBJECTIVE: This study aimed to evaluate the usability of morphometric features obtained from mandibular panoramic radiographs in gender determination using machine learning algorithms.
Fully automated deep learning approach to dental development assessment in panoramic radiographs.
BMC oral health
Apr 6, 2024
BACKGROUND: Dental development assessment is an important factor in dental age estimation and dental maturity evaluation. This study aimed to develop and evaluate the performance of an automated dental development staging system based on Demirjian's ...
A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System.
Journal of imaging informatics in medicine
Apr 2, 2024
This study aims to provide an effective solution for the autonomous identification of dental implant brands through a deep learning-based computer diagnostic system. It also seeks to ascertain the system's potential in clinical practices and to offer...
Graphical user interface-based convolutional neural network models for detecting nasopalatine duct cysts using panoramic radiography.
Scientific reports
Apr 2, 2024
Nasopalatine duct cysts are difficult to detect on panoramic radiographs due to obstructive shadows and are often overlooked. Therefore, sensitive detection using panoramic radiography is clinically important. This study aimed to create a trained mod...
Dental age estimation: A comparative study of convolutional neural network and Demirjian's method.
Journal of forensic and legal medicine
Mar 21, 2024
The aim of this study is to compare a technique using Convolutional Neural Network (CNN) with the Demirjian's method for chronological age estimation of living individuals based on tooth age from panoramic radiographs. This research used 5898 panoram...
Diagnostic capability of artificial intelligence tools for detecting and classifying odontogenic cysts and tumors: a systematic review and meta-analysis.
Oral surgery, oral medicine, oral pathology and oral radiology
Mar 19, 2024
OBJECTIVE: To evaluate the diagnostic capability of artificial intelligence (AI) for detecting and classifying odontogenic cysts and tumors, with special emphasis on odontogenic keratocyst (OKC) and ameloblastoma.
Automatic and robust estimation of sex and chronological age from panoramic radiographs using a multi-task deep learning network: a study on a South Korean population.
International journal of legal medicine
Mar 12, 2024
Sex and chronological age estimation are crucial in forensic investigations and research on individual identification. Although manual methods for sex and age estimation have been proposed, these processes are labor-intensive, time-consuming, and err...
A robust deep learning model for the classification of dental implant brands.
Journal of stomatology, oral and maxillofacial surgery
Mar 8, 2024
OBJECTIVE: In cases where the brands of implants are not known, treatment options can be significantly limited in potential complications arising from implant procedures. This research aims to explore the application of deep learning techniques for t...
Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach.
Journal of stomatology, oral and maxillofacial surgery
Mar 7, 2024
OBJECTIVE: The aim of this study is to determine if a deep learning (DL) model can predict the surgical difficulty for impacted maxillary third molar tooth using panoramic images before surgery.
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