AIMC Topic: Tooth

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Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children.

Dento maxillo facial radiology Jul 13, 2022
OBJECTIVES: The purpose of this study is to develop and evaluate the performance of a model that automatically sets a region of interest (ROI) and diagnoses mesiodens in panoramic radiographs of growing children using deep learning technology.
Humans Deep Learning Molar Tooth Child Radiography, Panoramic
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Benchmarking Deep Learning Models for Tooth Structure Segmentation.

Journal of dental research Jun 9, 2022
A wide range of deep learning (DL) architectures with varying depths are available, with developers usually choosing one or a few of them for their specific task in a nonsystematic way. Benchmarking (i.e., the systematic comparison of state-of-the ar...
Humans Neural Networks, Computer Benchmarking Tooth Deep Learning Image Processing, Computer-Assisted
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Accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning.

Scientific reports Jun 8, 2022
This study evaluates the accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning. We developed a dynamic graph convolutional neural network (DGCNN)-based algorithm for automatic tooth segmentation and clas...
Neural Networks, Computer Tooth Algorithms Models, Dental Deep Learning Image Processing, Computer-Assisted
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Tooth detection for each tooth type by application of faster R-CNNs to divided analysis areas of dental panoramic X-ray images.

Radiological physics and technology May 4, 2022
This study aimed to propose a computerized method for detecting the tooth region for each tooth type as the initial stage in the development of a computer-aided diagnosis (CAD) scheme for dental panoramic X-ray images. Our database consists of 160 pa...
Adult Diagnosis, Computer-Assisted Neural Networks, Computer Databases, Factual X-Rays Tooth Humans
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Automated detection of posterior restorations in permanent teeth using artificial intelligence on intraoral photographs.

Journal of dentistry Apr 5, 2022
OBJECTIVES: Intraoral photographs might be considered the machine-readable equivalent of a clinical-based visual examination and can potentially be used to detect and categorize dental restorations. The first objective of this study was to develop a ...
Dental Amalgam Photography, Dental Gold Composite Resins Dental Restoration, Permanent Tooth Artificial Intelligence Deep Learning Neural Networks, Computer
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Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image Segmentation.

IEEE transactions on medical imaging Apr 1, 2022
Precise segmentation of teeth from intra-oral scanner images is an essential task in computer-aided orthodontic surgical planning. The state-of-the-art deep learning-based methods often simply concatenate the raw geometric attributes (i.e., coordinat...
Neural Networks, Computer Image Processing, Computer-Assisted Tooth Humans
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Application of deep learning in teeth identification tasks on panoramic radiographs.

Dento maxillo facial radiology Mar 2, 2022
OBJECTIVES: To investigate the current developments of Artificial Intelligence (AI) in teeth identification on Panoramic Radiographs (PR). Our aim was to evaluate and compare the performances of Deep Learning (DL) models that have been employed in th...
Humans Artificial Intelligence Deep Learning Radiography, Panoramic Tooth
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Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study.

International journal of environmental research and public health Feb 2, 2022
BACKGROUND: Artificial intelligence (AI) has taken hold in public health because more and more people are looking to make a diagnosis using technology that allows them to work faster and more accurately, reducing costs and the number of medical error...
Humans Radiography, Panoramic Artificial Intelligence Tooth Software Italy
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A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs.

BioMed research international Jan 15, 2022
The purpose of the paper was the assessment of the success of an artificial intelligence (AI) algorithm formed on a deep-convolutional neural network (D-CNN) model for the segmentation of apical lesions on dental panoramic radiographs. A total of 470...
Algorithms Radiography, Panoramic Tooth Neural Networks, Computer Humans Artificial Intelligence
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Deep Learning Neural Modelling as a Precise Method in the Assessment of the Chronological Age of Children and Adolescents Using Tooth and Bone Parameters.

Sensors (Basel, Switzerland) Jan 14, 2022
Dental age is one of the most reliable methods for determining a patient's age. The timing of teething, the period of tooth replacement, or the degree of tooth attrition is an important diagnostic factor in the assessment of an individual's developme...
Deep Learning Adolescent Humans Neural Networks, Computer Artificial Intelligence Child Tooth
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