AIMC Topic: Convolutional Neural Networks

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Finger Vein Recognition Based on Unsupervised Spiking Convolutional Neural Network with Adaptive Firing Threshold.

Sensors (Basel, Switzerland) Apr 3, 2025
Currently, finger vein recognition (FVR) stands as a pioneering biometric technology, with convolutional neural networks (CNNs) and Transformers, among other advanced deep neural networks (DNNs), consistently pushing the boundaries of recognition acc...
Support Vector Machine Algorithms Action Potentials Fingers Deep Learning Veins Convolutional Neural Networks Neurons Humans Neural Networks, Computer
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CausalCervixNet: convolutional neural networks with causal insight (CICNN) in cervical cancer cell classification-leveraging deep learning models for enhanced diagnostic accuracy.

BMC cancer Apr 3, 2025
Cervical cancer is a significant global health issue affecting women worldwide, necessitating prompt detection and effective management. According to the World Health Organization (WHO), approximately 660,000 new cases of cervical cancer and 350,000 ...
Humans Neural Networks, Computer Convolutional Neural Networks Early Detection of Cancer Female Uterine Cervical Neoplasms Deep Learning
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Comprehensive Segmentation of Gray Matter Structures on T1-Weighted Brain MRI: A Comparative Study of Convolutional Neural Network, Convolutional Neural Network Hybrid-Transformer or -Mamba Architectures.

AJNR. American journal of neuroradiology Apr 2, 2025
BACKGROUND AND PURPOSE: Recent advances in deep learning have shown promising results in medical image analysis and segmentation. However, most brain MRI segmentation models are limited by the size of their data sets and/or the number of structures t...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Alzheimer Disease Female Neural Networks, Computer Gray Matter Middle Aged Aged Brain Deep Learning Male Convolutional Neural Networks
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Integrating lightweight convolutional neural network with entropy-informed channel attention and adaptive spatial attention for OCT-based retinal disease classification.

Computers in biology and medicine Apr 1, 2025
This article proposes an effective and lightweight contextual convolutional neural network architecture called LOCT-Net for classifying retinal diseases. The LOCT-Net adopts nested residual blocks to capture the local patterns from the optical cohere...
Humans Neural Networks, Computer Tomography, Optical Coherence Convolutional Neural Networks Retinal Diseases Entropy
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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).
Diagnostic Techniques, Ophthalmological Corneal Topography Video Recording Cornea Male Convolutional Neural Networks ROC Curve Imaging, Three-Dimensional Keratoconus Female Young Adult Adult Neural Networks, Computer Algorithms Humans
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Parallel convolutional neural networks for non-invasive cardiac hemodynamic estimation: integrating uncalibrated PPG signals with nonlinear feature analysis.

Physiological measurement Mar 31, 2025
Understanding cardiac hemodynamic status (CHS) is essential for accurate cardiovascular health assessment, as it is governed by key parameters such as cardiac output (CO), systemic vascular resistance (SVR), and arterial compliance (AC). This study a...
Hemodynamics Deep Learning Convolutional Neural Networks Photoplethysmography Signal Processing, Computer-Assisted Heart Humans Adult Male Nonlinear Dynamics Middle Aged Neural Networks, Computer Female
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Efficient Seizure Detection by Complementary Integration of Convolutional Neural Network and Vision Transformer.

International journal of neural systems Mar 29, 2025
Epilepsy, as a prevalent neurological disorder, is characterized by its high incidence, sudden onset, and recurrent nature. The development of an accurate and real-time automatic seizure detection system is crucial for assisting clinicians in making ...
Electroencephalography Humans Convolutional Neural Networks Seizures Signal Processing, Computer-Assisted
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Advanced convolutional neural network with attention mechanism for Alzheimer's disease classification using MRI.

Computers in biology and medicine Mar 29, 2025
This paper introduces a novel convolutional neural network model with an attention mechanism to advance Alzheimer disease (AD) classification using Magnetic Resonance Imaging (MRI). The model architecture is meticulously crafted to enhance feature ex...
Humans Alzheimer Disease Image Interpretation, Computer-Assisted Neural Networks, Computer Female Convolutional Neural Networks Brain Aged Magnetic Resonance Imaging Male
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Hybrid deep learning framework for diabetic retinopathy classification with optimized attention AlexNet.

Computers in biology and medicine Mar 27, 2025
Diabetic retinopathy (DR) is a chronic condition associated with diabetes that can lead to vision impairment and, if not addressed, may progress to irreversible blindness. Consequently, it is essential to detect pathological changes in the retina to ...
Humans Fundus Oculi Image Interpretation, Computer-Assisted Diabetic Retinopathy Deep Learning Convolutional Neural Networks
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DMC-LIBSAS: A Laser-Induced Breakdown Spectroscopy Analysis System with Double-Multi Convolutional Neural Network for Accurate Traceability of Chinese Medicinal Materials.

Sensors (Basel, Switzerland) Mar 27, 2025
Against the background of globalization, the circulation range of traditional Chinese medicinal materials is constantly expanding, and the phenomena of mixed origins and counterfeiting are becoming increasingly serious. Tracing the origin of traditio...
Deep Learning Drugs, Chinese Herbal Convolutional Neural Networks Spectrum Analysis Lasers
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