AIMC Topic: Convolutional Neural Networks

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Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks.

Photodiagnosis and photodynamic therapy Dec 28, 2024
In recent years, interest in applying deep learning (DL) to medical diagnosis has rapidly increased, driven primarily by the development of Convolutional Neural Networks and Transformers. Despite advancements in DL, the automated diagnosis of skin ca...
Deep Learning Convolutional Neural Networks Smartphone Neural Networks, Computer Optical Imaging Skin Neoplasms Humans
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Two-dimensional identification of lower limb gait features based on the variational modal decomposition of sEMG signal and convolutional neural network.

Gait & posture Dec 28, 2024
BACKGROUND: Gait feature recognition is crucial to improve the efficiency and coordination of exoskeleton assistance. The recognition methods based on surface electromyographic (sEMG) signals are popular. However, the recognition accuracy of these me...
Lower Extremity Algorithms Humans Signal Processing, Computer-Assisted Gait Neural Networks, Computer Male Convolutional Neural Networks Electromyography Gait Analysis
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Automated identification of impact spatters and fly spots with a residual neural network.

Forensic science international Dec 20, 2024
In criminal investigations, distinguishing between impact spatters and fly spots presents a challenge due to their morphological similarities. Traditional methods of bloodstain pattern analysis (BPA) rely significantly on the expertise of professiona...
Blood Stains Pattern Recognition, Automated Forensic Sciences Machine Learning Convolutional Neural Networks Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Optimizing convolutional neural networks for Chronic Obstructive Pulmonary Disease detection in clinical computed tomography imaging.

Computers in biology and medicine Dec 19, 2024
We aim to optimize the binary detection of Chronic Obstructive Pulmonary Disease (COPD) based on emphysema presence in the lung with convolutional neural networks (CNN) by exploring manually adjusted versus automated window-setting optimization (WSO)...
Image Processing, Computer-Assisted Aged Retrospective Studies Humans Pulmonary Disease, Chronic Obstructive Tomography, X-Ray Computed Neural Networks, Computer Male Middle Aged Female Lung Convolutional Neural Networks
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Human activity recognition utilizing optimized attention induced Multihead Convolutional Neural Network with Mobile Net V1 from Mobile health data.

Network (Bristol, England) Dec 17, 2024
Human Activity Recognition (HAR) systems are designed to continuously monitor human behaviour, mainly in the areas of entertainment and surveillance in intelligent home environments. In this manuscript, Human Activity Recognition utilizing optimized ...
Attention Telemedicine Human Activities Neural Networks, Computer Algorithms Convolutional Neural Networks Humans
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Convolutional neural network-assisted Raman spectroscopy for high-precision diagnosis of glioblastoma.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 17, 2024
Glioblastoma multiforme (GBM) is the most lethal intracranial tumor with a median survival of approximately 15 months. Due to its highly invasive properties, it is particularly difficult to accurately identify the tumor margins intraoperatively. The ...
Brain Brain Neoplasms Animals Convolutional Neural Networks Mice Spectrum Analysis, Raman Humans Glioblastoma Neural Networks, Computer
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Automated identification of Chagas disease vectors using AlexNet pre-trained convolutional neural networks.

Medical and veterinary entomology Dec 13, 2024
The 158 bug species that make up the subfamily Triatominae are the potential vectors of Trypanosoma cruzi, the etiological agent of Chagas disease. Despite recent progress in developing a picture-based automated system for identification of triatomin...
Triatominae Rhodnius Neural Networks, Computer Trypanosoma cruzi Chagas Disease Animals Insect Vectors Deep Learning Convolutional Neural Networks
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Performance of image processing analysis and a deep convolutional neural network for the classification of oral cancer in fluorescence visualization.

International journal of oral and maxillofacial surgery Dec 12, 2024
The aim of this prospective study was to determine the effectiveness of screening using image processing analysis and a deep convolutional neural network (DCNN) to classify oral cancers using non-invasive fluorescence visualization. The study include...
Humans Aged Adult Sensitivity and Specificity Neural Networks, Computer Prospective Studies Female Mouth Neoplasms Optical Imaging Fluorescence Convolutional Neural Networks Image Processing, Computer-Assisted Male Middle Aged
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Ensemble learning based on bi-directional gated recurrent unit and convolutional neural network with word embedding module for bioactive peptide prediction.

Food chemistry Dec 12, 2024
Bioactive peptides, as small protein fragments, are essential mediators of diverse physiological activities, such as antimicrobial, anti-inflammatory, anticancer, antioxidant, and immunomodulatory functions. Despite their substantial potential in pha...
Ensemble Learning Antimicrobial Peptides Convolutional Neural Networks Escherichia coli Acinetobacter baumannii Neural Networks, Computer Anti-Bacterial Agents Peptides
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Extraction of agricultural plastic greenhouses based on a U-Net convolutional neural network coupled with edge expansion and loss function improvement.

Journal of the Air & Waste Management Association (1995) Dec 12, 2024
Agricultural plastic greenhouses (APGs) are crucial for sustainable agricultural planting, and accurate spatial distribution information acquisition is crucial. Deep learning network models can extract target features from remote sensing images more ...
Neural Networks, Computer Remote Sensing Technology Convolutional Neural Networks Plastics Agriculture Satellite Imagery Environmental Monitoring
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