AIMC Topic: Tooth

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A multi-modal dental dataset for semi-supervised deep learning image segmentation.

Scientific data Jan 20, 2025
In response to the increasing prevalence of dental diseases, dental health, a vital aspect of human well-being, warrants greater attention. Panoramic X-ray images (PXI) and Cone Beam Computed Tomography (CBCT) are key tools for dentists in diagnosing...
Deep Learning Child Humans Adult Image Processing, Computer-Assisted Radiography, Panoramic Tooth Cone-Beam Computed Tomography Imaging, Three-Dimensional
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TSegLab: Multi-stage 3D dental scan segmentation and labeling.

Computers in biology and medicine Dec 20, 2024
This study introduces a novel deep learning approach for 3D teeth scan segmentation and labeling, designed to enhance accuracy in computer-aided design (CAD) systems. Our method is organized into three key stages: coarse localization, fine teeth segm...
Computer-Aided Design Deep Learning Humans Neural Networks, Computer Imaging, Three-Dimensional Tooth
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Co-Mask R-CNN: collaborative learning-based method for tooth instance segmentation.

The Journal of clinical pediatric dentistry Nov 3, 2024
Traditional tooth image analysis methods primarily focus on feature extraction from individual images, often overlooking critical tooth shape and position information. This paper presents a novel computer-aided diagnosis method, Collaborative learnin...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Tooth
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Automated dentition segmentation: 3D UNet-based approach with MIScnn framework.

Journal of the World federation of orthodontists Nov 2, 2024
INTRODUCTION: Advancements in technology have led to the adoption of digital workflows in dentistry, which require the segmentation of regions of interest from cone-beam computed tomography (CBCT) scans. These segmentations assist in diagnosis, treat...
Mandible Image Processing, Computer-Assisted Tooth Maxilla Dentition Cone-Beam Computed Tomography Imaging, Three-Dimensional Humans Neural Networks, Computer
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Automated detection and labeling of posterior teeth in dental bitewing X-rays using deep learning.

Computers in biology and medicine Oct 30, 2024
Standardized tooth numbering is crucial in dentistry for accurate recordkeeping, targeted procedures, and effective communication in both clinical and forensic contexts. However, conventional manual methods are prone to errors, time-consuming, and su...
Humans Adult Deep Learning Image Processing, Computer-Assisted Tooth
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Feasibility of using two generative AI models for teeth reconstruction.

Journal of dentistry Oct 16, 2024
OBJECTIVES: This feasibility study investigates the application of artificial intelligence (AI) models, specifically transformer-based (TM) and diffusion-based (DM) models, for the reconstruction of single and multiple missing teeth.
Image Processing, Computer-Assisted Feasibility Studies Models, Dental Tooth Loss Tooth Humans Artificial Intelligence
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Human Tooth Crack Image Analysis with Multiple Deep Learning Approaches.

Annals of biomedical engineering Sep 6, 2024
Tooth cracks, one of the most common dental diseases, can result in the tooth falling apart without prompt treatment; dentists also have difficulty locating cracks, even with X-ray imaging. Indocyanine green (ICG) assisted near-infrared fluorescence ...
Image Processing, Computer-Assisted Humans Tooth Indocyanine Green Deep Learning Tooth Fractures
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Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm.

BMC oral health Sep 3, 2024
BACKGROUND: This study aims to evaluate the performance of a deep learning system for the evaluation of tooth development stages on images obtained from panoramic radiographs from child patients.
Algorithms Female Deep Learning Adolescent Male Tooth Neural Networks, Computer Artificial Intelligence Humans Radiography, Panoramic Age Determination by Teeth Child, Preschool Child
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Exploring mechanobiology network of bone and dental tissue based on Natural Language Processing.

Journal of biomechanics Aug 13, 2024
Bone and cartilage tissues are physiologically dynamic organs that are systematically regulated by mechanical inputs. At cellular level, mechanical stimulation engages an intricate network where mechano-sensors and transmitters cooperate to manipulat...
Bone and Bones Tooth Humans Biomechanical Phenomena Algorithms Natural Language Processing Databases, Factual
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Artificial Intelligence-Enhanced Exosomal-Derived MicroRNA From Developing Teeth.

International dental journal Jul 18, 2024
Humans Tooth Artificial Intelligence MicroRNAs Exosomes
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