AIMC Topic: Image Processing, Computer-Assisted

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Revolutionizing Alzheimer's disease detection with a cutting-edge CAPCBAM deep learning framework.

Scientific reports Apr 22, 2025
Early and accurate diagnosis of Alzheimer's disease (AD) is crucial for effective treatment. While the integration of deep learning techniques for AD classification is not entirely new, this study introduces CAPCBAM-a framework that extends prior app...
Magnetic Resonance Imaging Alzheimer Disease Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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An end-to-end neural network for 4D cardiac CT reconstruction using single-beat scans.

Physics in medicine and biology Apr 22, 2025
Motion artifacts remain a significant challenge in cardiac CT imaging, often impairing the accurate detection and diagnosis of cardiac diseases. These artifacts result from involuntary cardiac motion, and traditional mitigation methods typically rely...
Four-Dimensional Computed Tomography Signal-To-Noise Ratio Phantoms, Imaging Humans Neural Networks, Computer Image Processing, Computer-Assisted Heart Deep Learning Artifacts
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Optimized glaucoma detection using HCCNN with PSO-driven hyperparameter tuning.

Biomedical physics & engineering express Apr 22, 2025
. This study is focused on creating an effective glaucoma detection system employing a Hybrid Centric Convolutional Neural Network (HCCNN) model. By using Particle Swarm Optimization (PSO), classification accuracy is increased and computing complexit...
Glaucoma Algorithms Fundus Oculi Optic Disk Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Neural Networks, Computer
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A semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI.

Physics in medicine and biology Apr 22, 2025
Prostate lesion segmentation from multiparametric magnetic resonance images is particularly challenging due to the limited availability of labeled data. This scarcity of annotated images makes it difficult for supervised models to learn the complex f...
Magnetic Resonance Imaging Algorithms Humans Multimodal Imaging Male Prostatic Neoplasms Image Processing, Computer-Assisted Prostate Supervised Machine Learning
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Advancing Single-Plane Wave Ultrasound Imaging With Implicit Multiangle Acoustic Synthesis via Deep Learning.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Apr 22, 2025
Plane wave imaging (PWI) is pivotal in medical ultrasound (US), prized for its ultrafast capabilities essential for real-time physiological monitoring. Traditionally, enhancing image quality in PWI has necessitated an increase in the number of plane ...
Image Processing, Computer-Assisted Phantoms, Imaging Animals Deep Learning Ultrasonography Humans Algorithms
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Tissue Clutter Filtering Methods in Ultrasound Localization Microscopy Based on Complex-Valued Networks and Knowledge Distillation.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Apr 22, 2025
Ultrasound localization microscopy (ULM) is a blood flow imaging technique that utilizes micrometer-sized microbubbles (MBs) as contrast agents to achieve high-resolution microvessel reconstruction through precise localization and tracking of MBs. Th...
Image Processing, Computer-Assisted Contrast Media Microscopy Deep Learning Ultrasonography Microvessels Microbubbles Phantoms, Imaging Algorithms Animals Neural Networks, Computer
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MM-UKAN++: A Novel Kolmogorov-Arnold Network-Based U-Shaped Network for Ultrasound Image Segmentation.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Apr 22, 2025
Ultrasound (US) imaging is an important and commonly used medical imaging modality. Accurate and fast automatic segmentation of regions of interest (ROIs) in US images is essential for enhancing the efficiency of clinical and robot-assisted diagnosis...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Ultrasonography
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Waveform-Specific Performance of Deep Learning-Based Super-Resolution for Ultrasound Contrast Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Apr 22, 2025
Resolving arterial flows is essential for understanding cardiovascular pathologies, improving diagnosis, and monitoring patient condition. Ultrasound contrast imaging uses microbubbles to enhance the scattering of the blood pool, allowing for real-ti...
Microbubbles Phantoms, Imaging Ultrasonography Image Processing, Computer-Assisted Animals Signal Processing, Computer-Assisted Deep Learning Signal-To-Noise Ratio Contrast Media
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A deep learning-based ensemble for autism spectrum disorder diagnosis using facial images.

PloS one Apr 22, 2025
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder leading to an inability to socially communicate and in extreme cases individuals are completely dependent on caregivers. ASD detection at early ages is crucial as early detection can red...
Child Female Image Processing, Computer-Assisted Male Face Humans Deep Learning Autism Spectrum Disorder
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Enhancing forensic shoeprint analysis: Application of the Shoe-MS algorithm to challenging evidence.

Science & justice : journal of the Forensic Science Society Apr 21, 2025
Quantitative assessment of pattern evidence is a challenging task, particularly in the context of forensic investigations where the accurate identification of sources and classification of items in evidence are critical. Emerging deep learning approa...
Humans Algorithms Databases, Factual Pattern Recognition, Automated Forensic Sciences Shoes Deep Learning Image Processing, Computer-Assisted
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