AIMC Topic: Cone-Beam Computed Tomography

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A cross-temporal multimodal fusion system based on deep learning for orthodontic monitoring.

Computers in biology and medicine Aug 18, 2024
INTRODUCTION: In the treatment of malocclusion, continuous monitoring of the three-dimensional relationship between dental roots and the surrounding alveolar bone is essential for preventing complications from orthodontic procedures. Cone-beam comput...
Cone-Beam Computed Tomography Malocclusion Orthodontics Humans Deep Learning
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Deep learning segmentation of mandible with lower dentition from cone beam CT.

Oral radiology Aug 14, 2024
OBJECTIVES: This study aimed to train a 3D U-Net convolutional neural network (CNN) for mandible and lower dentition segmentation from cone-beam computed tomography (CBCT) scans.
Cross-Sectional Studies Male Middle Aged Aged Adult Cone-Beam Computed Tomography Imaging, Three-Dimensional Mandible Deep Learning Adolescent Humans Female Dentition
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Artificial intelligence for treatment delivery: image-guided radiotherapy.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Aug 13, 2024
Radiation therapy (RT) is a highly digitized field relying heavily on computational methods and, as such, has a high affinity for the automation potential afforded by modern artificial intelligence (AI). This is particularly relevant where imaging is...
Particle Accelerators Magnetic Resonance Imaging Artificial Intelligence Workflow Neoplasms Humans Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Cone-Beam Computed Tomography Radiotherapy, Image-Guided
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[Automatic segmentation of dental cone-beam computed tomography scans using a deep learning framework].

Orvosi hetilap Aug 11, 2024
Deep Learning Cone-Beam Computed Tomography Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted
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Validation of a novel AI-based automated multimodal image registration of CBCT and intraoral scan aiding presurgical implant planning.

Clinical oral implants research Aug 5, 2024
OBJECTIVES: The objective of this study is to assess accuracy, time-efficiency and consistency of a novel artificial intelligence (AI)-driven automated tool for cone-beam computed tomography (CBCT) and intraoral scan (IOS) registration compared with ...
Cone-Beam Computed Tomography Multimodal Imaging Patient Care Planning Humans Artificial Intelligence
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Automated segmentation and deep learning classification of ductopenic parotid salivary glands in sialo cone-beam CT images.

International journal of computer assisted radiology and surgery Jul 31, 2024
PURPOSE: This study addressed the challenge of detecting and classifying the severity of ductopenia in parotid glands, a structural abnormality characterized by a reduced number of salivary ducts, previously shown to be associated with salivary gland...
Salivary Gland Diseases Sialography Image Interpretation, Computer-Assisted Sjogren's Syndrome Iopamidol Contrast Media Parotid Gland Severity of Illness Index Humans Deep Learning Retrospective Studies Cone-Beam Computed Tomography
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Automatic segmentation of the maxillary sinus on cone beam computed tomographic images with U-Net deep learning model.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jul 31, 2024
BACKGROUND: Medical imaging segmentation is the use of image processing techniques to expand specific structures or areas in medical images. This technique is used to separate and display different textures or shapes in an image. The aim of this stud...
Deep Learning Cone-Beam Computed Tomography Humans Image Processing, Computer-Assisted Maxillary Sinus
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Estimating the Severity of Oral Lesions Via Analysis of Cone Beam Computed Tomography Reports: A Proposed Deep Learning Model.

International dental journal Jul 26, 2024
OBJECTIVES: Several factors such as unavailability of specialists, dental phobia, and financial difficulties may lead to a delay between receiving an oral radiology report and consulting a dentist. The primary aim of this study was to distinguish bet...
Cone-Beam Computed Tomography Humans Mouth Diseases Severity of Illness Index Deep Learning
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Open Access Databases of Craniofacial Cone Beam Computed Tomography Scans are Vital for Advancements in Artificial Intelligence.

International dental journal Jul 18, 2024
Skull Artificial Intelligence Cone-Beam Computed Tomography Databases, Factual Access to Information Humans
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Gender Estimation from Morphometric Measurements of Mandibular Lingula by Using Machine Learning Algorithms and Artificial Neural Networks.

Nigerian journal of clinical practice Jun 29, 2024
BACKGROUND: Sex determination from the bones is of great importance for forensic medicine and anthropology. The mandible is highly valued because it is the strongest, largest and most dimorphic bone in the skull.
Imaging, Three-Dimensional Mandible Female Adolescent Sex Determination by Skeleton Young Adult Machine Learning Cone-Beam Computed Tomography Humans Male Algorithms Adult Neural Networks, Computer Middle Aged Retrospective Studies
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