AIMC Topic: Tooth

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3D Tooth Segmentation and Labeling Using Deep Convolutional Neural Networks.

IEEE transactions on visualization and computer graphics May 22, 2018
In this paper, we present a novel approach for 3D dental model segmentation via deep Convolutional Neural Networks (CNNs). Traditional geometry-based methods tend to receive undesirable results due to the complex appearance of human teeth (e.g., miss...
Tooth Algorithms Tomography, X-Ray Computed Dentition Radiography, Dental Imaging, Three-Dimensional Humans Neural Networks, Computer
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Artificial neural networks and geometric morphometric methods as a means for classification: A case-study using teeth from Carcharhinus sp. (Carcharhinidae).

Journal of morphology Nov 28, 2016
Over the past few decades, geometric morphometric methods have become increasingly popular and powerful tools to describe morphological data while over the same period artificial neural networks have had a similar rise in the classification of specim...
Neural Networks, Computer Animals Sharks Species Specificity Tooth
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Artificial Neural Networks as a powerful numerical tool to classify specific features of a tooth based on 3D scan data.

Computers in biology and medicine Nov 27, 2016
Chairside manufacturing based on digital image acquisition is gainingincreasing importance in dentistry. For the standardized application of these methods, it is paramount to have highly automated digital workflows that can process acquired 3D image ...
Imaging, Three-Dimensional Tooth Models, Dental Machine Learning Humans Algorithms Neural Networks, Computer
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Classification of teeth in cone-beam CT using deep convolutional neural network.

Computers in biology and medicine Nov 12, 2016
Dental records play an important role in forensic identification. To this end, postmortem dental findings and teeth conditions are recorded in a dental chart and compared with those of antemortem records. However, most dentists are inexperienced at r...
Radiography, Dental Tooth Neural Networks, Computer Humans Image Processing, Computer-Assisted Cone-Beam Computed Tomography Algorithms Forensic Sciences
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An Automatic Segmentation and Classification Framework Based on PCNN Model for Single Tooth in MicroCT Images.

PloS one Jun 20, 2016
Accurate segmentation and classification of different anatomical structures of teeth from medical images plays an essential role in many clinical applications. Usually, the anatomical structures of teeth are manually labelled by experienced clinical ...
Reproducibility of Results Pressure Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted X-Ray Microtomography Neural Networks, Computer Tooth Databases as Topic Algorithms
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ChatIOS: Improving automatic 3-dimensional tooth segmentation via GPT-4V and multimodal pre-training.

Journal of dentistry Jun 1, 2025
OBJECTIVES: This study aims to propose a framework that integrates GPT-4V, a recent advanced version of ChatGPT, and multimodal pre-training techniques to enhance deep learning algorithms for 3-dimensional (3D) tooth segmentation in scans produced by...
Deep Learning Humans Imaging, Three-Dimensional Mandible Algorithms Tooth Image Processing, Computer-Assisted Maxilla
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Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis.

BMC oral health May 26, 2025
BACKGROUND: Deep learning has been utilized to segment teeth from computed tomography (CT) or cone-beam CT (CBCT). However, the performance of deep learning is unknown due to multiple models and diverse evaluation metrics. This systematic review and ...
Deep Learning Cone-Beam Computed Tomography Humans Tooth Tomography, X-Ray Computed
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Evaluating masked self-supervised learning frameworks for 3D dental model segmentation tasks.

Scientific reports May 14, 2025
The application of deep learning using dental models is crucial for automated computer-aided treatment planning. However, developing highly accurate models requires a substantial amount of accurately labeled data. Obtaining this data is challenging, ...
Tooth Models, Dental Imaging, Three-Dimensional Supervised Machine Learning Humans Deep Learning
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Automated tooth segmentation in magnetic resonance scans using deep learning - A pilot study.

Dento maxillo facial radiology Jan 1, 2025
OBJECTIVES: The main objective was to develop and evaluate an artificial intelligence model for tooth segmentation in magnetic resonance (MR) scans.
Humans Female Imaging, Three-Dimensional Deep Learning Magnetic Resonance Imaging Pilot Projects Adult Male Tooth
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[Tooth segmentation and identification on cone-beam computed tomography with convolutional neural network based on spatial embedding information].

Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences Aug 18, 2024
OBJECTIVE: To propose a novel neural network to achieve tooth instance segmentation and recognition based on cone-beam computed tomography (CBCT) voxel data.
Neural Networks, Computer Algorithms Humans Tooth Cone-Beam Computed Tomography Image Processing, Computer-Assisted
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