AIMC Topic: Convolutional Neural Networks

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Fully automatic categorical analysis of striatal subregions in dopamine transporter SPECT using a convolutional neural network.

Annals of nuclear medicine Mar 16, 2025
OBJECTIVE: To provide fully automatic scanner-independent 5-level categorization of the [I]FP-CIT uptake in striatal subregions in dopamine transporter SPECT.
Adult Corpus Striatum Male Tomography, Emission-Computed, Single-Photon Middle Aged Tropanes Humans Dopamine Plasma Membrane Transport Proteins Female Convolutional Neural Networks Aged Image Processing, Computer-Assisted Automation
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Intelligent monitoring of fruit and vegetable freshness in supply chain based on 3D printing and lightweight deep convolutional neural networks (DCNN).

Food chemistry Mar 15, 2025
In this study, an innovative intelligent system for supervising the quality of fresh produce was proposed, which combined 3D printing technology and deep convolutional neural networks (DCNN). Through 3D printing technology, sensitive, lightweight, an...
Fruit Convolutional Neural Networks Printing, Three-Dimensional Vegetables Carbon Dioxide Food Storage
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A Novel Fusion Framework Combining Graph Embedding Class-Based Convolutional Recurrent Attention Network with Brown Bear Optimization Algorithm for EEG-Based Parkinson's Disease Recognition.

Journal of molecular neuroscience : MN Mar 15, 2025
Parkinson's disease recognition (PDR) involves identifying Parkinson's disease using clinical evaluations, imaging studies, and biomarkers, focusing on early symptoms like tremors, rigidity, and bradykinesia to facilitate timely treatment. However, d...
Humans Convolutional Neural Networks Parkinson Disease Electroencephalography Datasets as Topic Machine Learning Algorithms
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Three-dimensional markerless surface topography approach with convolutional neural networks for adolescent idiopathic scoliosis screening.

Scientific reports Mar 13, 2025
Adolescent idiopathic scoliosis (AIS) is a three-dimensional lateral and torsional deformity of the spine, affecting up to 5% of the population. Traditional scoliosis screening methods exhibit limited accuracy, leading to unnecessary referrals and ex...
Male Convolutional Neural Networks Adolescent Humans Neural Networks, Computer Female Scoliosis Child Imaging, Three-Dimensional Spine
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DCAlexNet: Deep coupled AlexNet for micro facial expression recognition based on double face images.

Computers in biology and medicine Mar 12, 2025
Facial Micro-Expression Recognition (FER) presents challenges due to individual variations in emotional intensity and the complexity of feature extraction. While apex frames offer valuable emotional information, their precise role in FER remains uncl...
Automated Facial Recognition Face Facial Expression Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Databases, Factual Female Male Humans Neural Networks, Computer
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Explainable multiscale temporal convolutional neural network model for sleep stage detection based on electroencephalogram activities.

Journal of neural engineering Mar 7, 2025
Humans spend a significant portion of their lives in sleep (an essential driver of body metabolism). Moreover, as sleep deprivation could cause various health complications, it is crucial to develop an automatic sleep stage detection model to facilit...
Adult Male Convolutional Neural Networks Electroencephalography Humans Polysomnography Neural Networks, Computer Sleep Stages Female
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Classification method for nailfold capillary images using an optimized sugeno fuzzy ensemble of convolutional neural networks.

Computers in biology and medicine Mar 6, 2025
This study developed a novel binary classification method for analyzing nailfold capillary images associated with the risk of developing sclerosis. The proposed approach combined a Sugeno fuzzy integral inference system with an ensemble of convolutio...
Female Male Convolutional Neural Networks Humans Nails Neural Networks, Computer Image Processing, Computer-Assisted Capillaries Fuzzy Logic
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A Lightweight Deep Convolutional Neural Network Extracting Local and Global Contextual Features for the Classification of Alzheimer's Disease Using Structural MRI.

IEEE journal of biomedical and health informatics Mar 6, 2025
Recent advancements in the classification of Alzheimer's disease have leveraged the automatic feature generation capability of convolutional neural networks (CNNs) using neuroimaging biomarkers. However, most of the existing CNN-based methods often d...
Brain Deep Learning Convolutional Neural Networks Magnetic Resonance Imaging Humans Neural Networks, Computer Databases, Factual Alzheimer Disease Image Interpretation, Computer-Assisted Neuroimaging
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PredIDR2: Improving accuracy of protein intrinsic disorder prediction by updating deep convolutional neural network and supplementing DisProt data.

International journal of biological macromolecules Mar 5, 2025
Intrinsically disordered proteins (IDPs) or regions (IDRs) are widespread in proteomes, and involved in several important biological processes and implicated in many diseases. Many computational methods for IDR prediction are being developed to decre...
Neural Networks, Computer Software Convolutional Neural Networks Intrinsically Disordered Proteins ROC Curve Computational Biology Databases, Protein
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Development and validation of automated three-dimensional convolutional neural network model for acute appendicitis diagnosis.

Scientific reports Mar 5, 2025
Rapid, accurate preoperative imaging diagnostics of appendicitis are critical in surgical decisions of emergency care. This study developed a fully automated diagnostic framework using a 3D convolutional neural network (CNN) to identify appendicitis ...
Appendicitis Appendectomy Appendix Adolescent Imaging, Three-Dimensional Acute Disease Adult Sensitivity and Specificity Male Middle Aged Deep Learning Convolutional Neural Networks Tomography, X-Ray Computed Female Young Adult Humans Neural Networks, Computer Algorithms
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