AIMC Topic: Convolutional Neural Networks

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Breast cancer pathology image recognition based on convolutional neural network.

PloS one Jan 1, 2025
This study presents a convolutional neural network (CNN)-based method for the classification and recognition of breast cancer pathology images. It aims to solve the problems existing in traditional pathological tissue analysis methods, such as time-c...
Humans Neural Networks, Computer Convolutional Neural Networks Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Algorithms Female Breast Neoplasms
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Reliability of Emotion Analysis from Human Facial Expressions Using Multi-task Cascaded Convolutional Neural Networks.

The journal of medical investigation : JMI Jan 1, 2025
Life support robots in care settings must be able to read a person's emotions from facial expressions to achieve empathic communication. This study aims to determine the degree of agreement between Multi-task Cascaded Convolutional Neural Networks (M...
Neural Networks, Computer Female Reproducibility of Results Humans Facial Expression Male Young Adult Convolutional Neural Networks Adult Emotions
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SVMVGGNet-16: A Novel Machine and Deep Learning Based Approaches for Lung Cancer Detection Using Combined SVM and VGGNet-16.

Current medical imaging Jan 1, 2025
BACKGROUND AND OBJECTIVE: Lung cancer remains a leading cause of cancer-related mortality worldwide, necessitating early and accurate detection methods. Our study aims to enhance lung cancer detection by integrating VGGNet-16 form of Convolutional Ne...
Support Vector Machine Humans Neural Networks, Computer Convolutional Neural Networks Tomography, X-Ray Computed Lung Neoplasms Reproducibility of Results Deep Learning
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Integrating single-cell multimodal epigenomic data using 1D convolutional neural networks.

Bioinformatics (Oxford, England) Dec 26, 2024
MOTIVATION: Recent experimental developments enable single-cell multimodal epigenomic profiling, which measures multiple histone modifications and chromatin accessibility within the same cell. Such parallel measurements provide exciting new opportuni...
Animals Convolutional Neural Networks Single-Cell Analysis Humans Neural Networks, Computer Mice Epigenomics
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[Coronary artery segmentation based on Transformer and convolutional neural networks dual parallel branch encoder neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2024
Manual segmentation of coronary arteries in computed tomography angiography (CTA) images is inefficient, and existing deep learning segmentation models often exhibit low accuracy on coronary artery images. Inspired by the Transformer architecture, th...
Coronary Angiography Algorithms Coronary Vessels Deep Learning Imaging, Three-Dimensional Humans Convolutional Neural Networks Computed Tomography Angiography Image Processing, Computer-Assisted Neural Networks, Computer
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[Image reconstruction for cerebral hemorrhage based on improved densely-connected fully convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2024
Cerebral hemorrhage is a serious cerebrovascular disease with high morbidity and high mortality, for which timely diagnosis and treatment are crucial. Electrical impedance tomography (EIT) is a functional imaging technique which is able to detect abn...
Humans Neural Networks, Computer Phantoms, Imaging Brain Cerebral Hemorrhage Convolutional Neural Networks Tomography Electric Impedance Image Processing, Computer-Assisted
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[Gesture accuracy recognition based on grayscale image of surface electromyogram signal and multi-view convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2024
This study aims to address the limitations in gesture recognition caused by the susceptibility of temporal and frequency domain feature extraction from surface electromyography signals, as well as the low recognition rates of conventional classifiers...
Electromyography Pattern Recognition, Automated Neural Networks, Computer Machine Learning Algorithms Convolutional Neural Networks Gestures Signal Processing, Computer-Assisted Humans
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[Three-dimensional convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery electroencephalography signal].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2024
The brain-computer interface (BCI) based on motor imagery electroencephalography (EEG) shows great potential in neurorehabilitation due to its non-invasive nature and ease of use. However, motor imagery EEG signals have low signal-to-noise ratios and...
Convolutional Neural Networks Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Imagination Humans Neural Networks, Computer Brain
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VirDetect-AI: a residual and convolutional neural network-based metagenomic tool for eukaryotic viral protein identification.

Briefings in bioinformatics Nov 22, 2024
This study addresses the challenging task of identifying viruses within metagenomic data, which encompasses a broad array of biological samples, including animal reservoirs, environmental sources, and the human body. Traditional methods for virus ide...
Viruses Viral Proteins Eukaryota Metagenomics Genome, Viral Metagenome Humans Artificial Intelligence Neural Networks, Computer Convolutional Neural Networks Computational Biology
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Large-scale parameters framework with large convolutional kernel for encoding visual fMRI activity information.

Cerebral cortex (New York, N.Y. : 1991) Jul 3, 2024
Visual encoding models often use deep neural networks to describe the brain's visual cortex response to external stimuli. Inspired by biological findings, researchers found that large receptive fields built with large convolutional kernels improve co...
Image Interpretation, Computer-Assisted Convolutional Neural Networks Vision, Ocular Magnetic Resonance Imaging Nerve Net
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