AIMC Topic: Convolutional Neural Networks

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Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification.

PloS one Jan 16, 2025
In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. However, de...
Signal-To-Noise Ratio Imagination Humans Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Brain-Computer Interfaces Algorithms Convolutional Neural Networks
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Abnormality detection in nailfold capillary images using deep learning with EfficientNet and cascade transfer learning.

Scientific reports Jan 15, 2025
Nailfold Capillaroscopy (NFC) is a simple, non-invasive diagnostic tool used to detect microvascular changes in nailfold. Chronic pathological changes associated with a wide range of systemic diseases, such as diabetes, cardiovascular disorders, and ...
Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Nails Microscopic Angioscopy Humans Female Male Capillaries
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Extracting organs of interest from medical images based on convolutional neural network with auxiliary and refined constraints.

Scientific reports Jan 15, 2025
Accurately extracting organs from medical images provides radiologist with more comprehensive evidences to clinical diagnose, which offers up a higher accuracy and efficiency. However, the key to achieving accurate segmentation lies in abundant clues...
Tomography, X-Ray Computed Convolutional Neural Networks Image Processing, Computer-Assisted Liver Pancreas Neural Networks, Computer Algorithms Databases, Factual Humans
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Dorsoventral comparison of intraspecific variation in the butterfly wing pattern using a convolutional neural network.

Biology letters Jan 15, 2025
Butterfly wing patterns exhibit notable differences between the dorsal and ventral surfaces, and morphological analyses of them have provided insights into the ecological and behavioural characteristics of wing patterns. Conventional methods for dors...
Species Specificity Wings, Animal Butterflies Male Convolutional Neural Networks Sex Characteristics Female Animals Neural Networks, Computer
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Utilizing convolutional neural network (CNN) for orchard irrigation decision-making.

Environmental monitoring and assessment Jan 14, 2025
Efficient agricultural management often relies on farmers' experiential knowledge and demands considerable labor, particularly in regions with challenging terrains. To reduce these burdens, the adoption of smart technologies has garnered increasing a...
Environmental Monitoring Decision Making Agricultural Irrigation Convolutional Neural Networks Agriculture Neural Networks, Computer Soil
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E-DFu-Net: An efficient deep convolutional neural network models for Diabetic Foot Ulcer classification.

Biomolecules & biomedicine Jan 14, 2025
The Diabetic Foot Ulcer (DFU) is a severe complication that affects approximately 33% of diabetes patients globally, often leading to limb amputation if not detected early. This study introduces an automated approach for identifying and classifying D...
Deep Learning Convolutional Neural Networks Diabetic Foot Humans Neural Networks, Computer
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A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain-Computer Interfaces to Enhance Motor Imagery Classification.

Sensors (Basel, Switzerland) Jan 13, 2025
Enhancing motor disability assessment and its imagery classification is a significant concern in contemporary medical practice, necessitating reliable solutions to improve patient outcomes. One promising avenue is the use of brain-computer interfaces...
Brain-Computer Interfaces Imagination Brain Convolutional Neural Networks Electroencephalography Humans Neural Networks, Computer
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Genome-wide association study on color-image-based convolutional neural networks.

PeerJ Jan 13, 2025
BACKGROUND: Convolutional neural networks have excellent modeling abilities to complex large-scale datasets and have been applied to genomics. It requires converting genotype data to image format when employing convolutional neural networks to genome...
Genotype Color Humans Genome-Wide Association Study Neural Networks, Computer Image Processing, Computer-Assisted Convolutional Neural Networks
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Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography.

Optometry and vision science : official publication of the American Academy of Optometry Jan 13, 2025
SIGNIFICANCE: Optimal meibography utilization and interpretation are hindered due to poor lid presentation, blurry images, or image artifacts and the challenges of applying clinical grading scales. These results, using the largest image dataset analy...
Convolutional Neural Networks Diagnostic Techniques, Ophthalmological Meibomian Glands Algorithms Reproducibility of Results Humans Neural Networks, Computer Meibomian Gland Dysfunction
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Bioinspired Smart Triboelectric Soft Pneumatic Actuator-Enabled Hand Rehabilitation Robot.

Advanced materials (Deerfield Beach, Fla.) Jan 10, 2025
Quantitative assessment for post-stroke spasticity remains a significant challenge due to the encountered variable resistance during passive stretching, which can lead to the widely used modified Ashworth scale (MAS) for spasticity assessment dependi...
Adult Animals Male Humans Female Aged Stroke Stroke Rehabilitation Muscle Spasticity Nephropidae Robotics Equipment Design Hand Middle Aged Convolutional Neural Networks
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