AIMC Topic: Imaging, Three-Dimensional

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Localisation and classification of multi-stage caries on CBCT images with a 3D convolutional neural network.

Clinical oral investigations Apr 14, 2025
OBJECTIVES: Dental caries remains a significant global health concern. Recognising the diagnostic potential of cone-beam computed tomography (CBCT) in caries assessment, this study aimed to develop an artificial intelligence (AI)-driven tool for accu...
Humans Dental Caries Convolutional Neural Networks Neural Networks, Computer Cone-Beam Computed Tomography Imaging, Three-Dimensional
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Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation.

Medical image analysis Apr 12, 2025
Despite their effectiveness, current deep learning models face challenges with images coming from different domains with varying appearance and content. We introduce SegCLR, a versatile framework designed to segment images across different domains, e...
Supervised Machine Learning Image Interpretation, Computer-Assisted Humans Algorithms Deep Learning Imaging, Three-Dimensional Tomography, Optical Coherence
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Method of Forearm Muscles 3D Modeling Using Robotic Ultrasound Scanning.

Sensors (Basel, Switzerland) Apr 4, 2025
The accurate assessment of muscle morphology and function is crucial for medical diagnostics, rehabilitation, and biomechanical research. This study presents a novel methodology for constructing volumetric models of forearm muscles based on three-dim...
Phantoms, Imaging Humans Forearm Ultrasonography Imaging, Three-Dimensional Muscle, Skeletal Robotics
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A Novel Hierarchical Cross-Stream Aggregation Neural Network for Semantic Segmentation of 3-D Dental Surface Models.

IEEE transactions on neural networks and learning systems Apr 4, 2025
Accurate teeth delineation on 3-D dental models is essential for individualized orthodontic treatment planning. Pioneering works like PointNet suggest a promising direction to conduct efficient and accurate 3-D dental model analyses in end-to-end lea...
Algorithms Deep Learning Imaging, Three-Dimensional Humans Neural Networks, Computer Semantics Tooth Models, Dental
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Predicting cell cycle stage from 3D single-cell nuclear-stained images.

Life science alliance Apr 3, 2025
The cell cycle governs the proliferation of all eukaryotic cells. Profiling cell cycle dynamics is therefore central to basic and biomedical research. However, current approaches to cell cycle profiling involve complex interventions that may confound...
Humans Neural Networks, Computer Machine Learning Cell Cycle Support Vector Machine Single-Cell Analysis Microscopy, Fluorescence Imaging, Three-Dimensional Cell Nucleus Image Processing, Computer-Assisted
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3D Hyperspectral Data Analysis with Spatially Aware Deep Learning for Diagnostic Applications.

Analytical chemistry Apr 3, 2025
Nowadays, with the rise of artificial intelligence (AI), deep learning algorithms play an increasingly important role in various traditional fields of research. Recently, these algorithms have already spread into data analysis for Raman spectroscopy....
Neural Networks, Computer Algorithms Colorectal Neoplasms Deep Learning Humans Imaging, Three-Dimensional Spectrum Analysis, Raman
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Development and validation of a framework for registration of whole-mount radical prostatectomy histopathology with three-dimensional transrectal ultrasound.

BMC urology Apr 3, 2025
PURPOSE: Artificial intelligence (AI) has the potential to improve diagnostic imaging on multiple levels. To develop and validate these AI-assisted modalities a reliable dataset is of utmost importance. The registration of imaging to pathology is an ...
Imaging, Three-Dimensional Rectum Male Humans Prostatic Neoplasms Middle Aged Prostatectomy Artificial Intelligence Ultrasonography Prostate Aged
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Improved unsupervised 3D lung lesion detection and localization by fusing global and local features: Validation in 3D low-dose computed tomography.

Medical image analysis Apr 1, 2025
Unsupervised anomaly detection (UAD) is crucial in low-dose computed tomography (LDCT). Recent AI technologies, leveraging global features, have enabled effective UAD with minimal training data of normal patients. However, this approach, devoid of ut...
Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Unsupervised Machine Learning Lung Humans Radiographic Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Radiation Dosage Lung Neoplasms
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Using 3D Convolutional Neural Network and Corvis ST Corneal Dynamic Video for Detecting Forme Fruste Keratoconus.

Journal of refractive surgery (Thorofare, N.J. : 1995) Apr 1, 2025
PURPOSE: To evaluate the performance of a three-dimensional convolutional neural network (3D CNN) in detecting forme fruste keratoconus (FFKC).
Video Recording Diagnostic Techniques, Ophthalmological Neural Networks, Computer Imaging, Three-Dimensional Algorithms Keratoconus Male Young Adult Female Corneal Topography Convolutional Neural Networks Humans Adult ROC Curve Cornea
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AI-based detection and classification of anomalous aortic origin of coronary arteries using coronary CT angiography images.

Nature communications Apr 1, 2025
Anomalous aortic origin of the coronary artery (AAOCA) is a rare cardiac condition that can lead to ischemia or sudden cardiac death, yet it is often overlooked or falsely classified in routine coronary CT angiography (CCTA). Here, we developed, vali...
Coronary Vessel Anomalies Male Middle Aged Imaging, Three-Dimensional Coronary Angiography Coronary Vessels Computed Tomography Angiography Aged Adult Artificial Intelligence Sensitivity and Specificity Female Humans
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