AIMC Topic: Neural Networks, Computer

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[The dual-stream feature pyramid network based on Mamba and convolution for brain magnetic resonance image registration].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2024
Deformable image registration plays a crucial role in medical image analysis. Despite various advanced registration models having been proposed, achieving accurate and efficient deformable registration remains challenging. Leveraging the recent outst...
Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Brain Humans Neural Networks, Computer
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[A novel approach for assessing quality of electrocardiogram signal by integrating multi-scale temporal features].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2024
During long-term electrocardiogram (ECG) monitoring, various types of noise inevitably become mixed with the signal, potentially hindering doctors' ability to accurately assess and interpret patient data. Therefore, evaluating the quality of ECG sign...
Electrocardiography Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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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...
Pattern Recognition, Automated Humans Neural Networks, Computer Machine Learning Gestures Algorithms Signal Processing, Computer-Assisted Electromyography Convolutional Neural Networks
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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...
Electroencephalography Signal Processing, Computer-Assisted Imagination Brain-Computer Interfaces Humans Neural Networks, Computer Brain Convolutional Neural Networks
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[A study on post-traumatic stress disorder classification based on multi-atlas multi-kernel graph convolutional network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2024
Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, making accurate and objective diagnosis challenging when relying solely on clinical assessments. Therefore, there is an urgent need to develop reliable a...
Humans Brain Stress Disorders, Post-Traumatic Magnetic Resonance Imaging Neural Networks, Computer Algorithms
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[Identification of osteoid and chondroid matrix mineralization in primary bone tumors using a deep learning fusion model based on CT and clinical features: a multi-center retrospective study].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Dec 20, 2024
METHODS: We retrospectively collected CT scan data from 276 patients with pathologically confirmed primary bone tumors from 4 medical centers in Guangdong Province between January, 2010 and August, 2021. A convolutional neural network (CNN) was emplo...
Bone Neoplasms Tomography, X-Ray Computed Female Deep Learning ROC Curve Male Neural Networks, Computer Algorithms Retrospective Studies Humans
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[Prediction of areas of snail spread in Anhui Province based on five machine learning models].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control Dec 19, 2024
OBJECTIVE: To predict the areas of snail spread in Anhui Province from 1977 to 2023 using machine learning models, and to compare the effectiveness of different machine learning models for prediction of areas of snail spread, so as to provide insig...
Snails Humans Neural Networks, Computer Animals China Machine Learning
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Accurate and Efficient Algorithm for Detection of Alzheimer Disability Based on Deep Learning.

Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology Dec 19, 2024
BACKGROUND/AIMS: Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that severely affects cognitive functions and memory. Early detection is crucial for timely intervention and improved patient outcomes. However, traditional diagnos...
Neural Networks, Computer Algorithms Support Vector Machine Aged Alzheimer Disease Male Diagnosis, Computer-Assisted Female Deep Learning Humans
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segcsvd: A Convolutional Neural Network-Based Tool for Quantifying White Matter Hyperintensities in Heterogeneous Patient Cohorts.

Human brain mapping Dec 15, 2024
White matter hyperintensities (WMH) of presumed vascular origin are a magnetic resonance imaging (MRI)-based biomarker of cerebral small vessel disease (CSVD). WMH are associated with cognitive decline and increased risk of stroke and dementia, and a...
Neural Networks, Computer Female Aged Humans Middle Aged Deep Learning Cohort Studies Aged, 80 and over Male White Matter Cerebral Small Vessel Diseases Magnetic Resonance Imaging Neuroimaging
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How to build the virtual cell with artificial intelligence: Priorities and opportunities.

Cell Dec 12, 2024
Cells are essential to understanding health and disease, yet traditional models fall short of modeling and simulating their function and behavior. Advances in AI and omics offer groundbreaking opportunities to create an AI virtual cell (AIVC), a mult...
Humans Computer Simulation Animals Models, Biological Neural Networks, Computer Artificial Intelligence
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