AIMC Topic: Convolutional Neural Networks

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Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics.

Scientific reports May 19, 2025
Dementia spectrum disorders, characterized by progressive cognitive decline, pose a significant global health burden. Early screening and diagnosis are essential for timely and accurate treatment, improving patient outcomes and quality of life. This ...
Alzheimer Disease Frontotemporal Dementia Connectome Convolutional Neural Networks Dementia Electroencephalography Biomarkers Brain Female Aged Male Middle Aged Humans Neural Networks, Computer
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Ethnic dance movement instruction guided by artificial intelligence and 3D convolutional neural networks.

Scientific reports May 15, 2025
This study aims to explore the potential application of artificial intelligence in ethnic dance action instruction and achieve movement recognition by utilizing the three-dimensional convolutional neural networks (3D-CNNs). In this study, the 3D-CNNs...
Neural Networks, Computer Artificial Intelligence Convolutional Neural Networks Humans Ethnicity Movement Dancing
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Classification of multi-lead ECG based on multiple scales and hierarchical feature convolutional neural networks.

Scientific reports May 12, 2025
Detecting and classifying arrhythmias is essential in diagnosing cardiovascular diseases. However, current deep learning-based classification methods often encounter difficulties in effectively integrating both the morphological and temporal features...
Electrocardiography Arrhythmias, Cardiac Deep Learning Convolutional Neural Networks Humans Neural Networks, Computer Algorithms Databases, Factual
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Traffic-related air pollution backcasting using convolutional neural network and long short-term memory approach.

The Science of the total environment May 10, 2025
Air pollution backcasting, especially nitrogen dioxide (NO), is crucial in epidemiological studies, thus enabling the reconstruction of historical exposure levels for assessing long-term health effects. Changes in NO concentrations in urban areas are...
Neural Networks, Computer Nitrogen Dioxide Convolutional Neural Networks Traffic-Related Pollution Air Pollution Cities Vehicle Emissions Environmental Monitoring Nitrogen Oxides Air Pollutants
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Identification of sorghum variety using hyperspectral technology with squeeze-and-excitation convolutional neural network algorithms.

Analytical methods : advancing methods and applications May 9, 2025
In this study, hyperspectral technology along with a combination of squeeze-and-excitation convolutional neural networks and competitive adaptive reweighted sampling (CARS-SECNNet) was developed to identify sorghum varieties. In addition, the support...
Convolutional Neural Networks Support Vector Machine Hyperspectral Imaging Neural Networks, Computer Algorithms Sorghum Wavelet Analysis
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[The computer-aided diagnosis model of middle ear cholesteatoma based on integrated convolutional neural networks].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery May 7, 2025
Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods have certain limitations. This study aims to construct a computer-aided diagnosis model for middle ear cholesteatoma based on integrated convolutional...
Diagnosis, Computer-Assisted Humans Convolutional Neural Networks Neural Networks, Computer Tomography, X-Ray Computed Cholesteatoma, Middle Ear
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Diagnosis of Sarcopenia Using Convolutional Neural Network Models Based on Muscle Ultrasound Images: Prospective Multicenter Study.

Journal of medical Internet research May 6, 2025
BACKGROUND: Early detection is clinically crucial for the strategic handling of sarcopenia, yet the screening process, which includes assessments of muscle mass, strength, and function, remains complex and difficult to access.
Muscle, Skeletal Aged, 80 and over Male Prospective Studies Middle Aged Convolutional Neural Networks Female Humans Ultrasonography Neural Networks, Computer Aged Sarcopenia
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Feasibility of virtual T2-weighted fat-saturated breast MRI images by convolutional neural networks.

European radiology experimental May 2, 2025
BACKGROUND: Breast magnetic resonance imaging (MRI) protocols often include T2-weighted fat-saturated (T2w-FS) sequences, which support tissue characterization but significantly increase scan time. This study aims to evaluate whether a 2D-U-Net neura...
Image Interpretation, Computer-Assisted Neural Networks, Computer Breast Retrospective Studies Feasibility Studies Female Humans Aged Middle Aged Adult Convolutional Neural Networks Breast Neoplasms Magnetic Resonance Imaging
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High-Accuracy Digitization of Humphrey Visual Field Reports Using Convolutional Neural Networks.

Translational vision science & technology May 1, 2025
PURPOSE: Glaucoma is a leading cause of irreversible blindness worldwide, necessitating precise visual field (VF) assessments for effective diagnosis and management. The ability to accurately digitize VF reports is critical for maximizing the utility...
Neural Networks, Computer Glaucoma Reproducibility of Results Convolutional Neural Networks Visual Fields Visual Field Tests Humans
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Criminal emotion detection framework using convolutional neural network for public safety.

Scientific reports May 1, 2025
In the era of rapid societal modernization, the issue of crime stands as an intrinsic facet, demanding our attention and consideration. As our communities evolve and adopt technological advancements, the dynamic landscape of criminal activities becom...
Convolutional Neural Networks Emotions Crime Criminals Humans Neural Networks, Computer
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