AIMC Topic: Algorithms

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MCI Net: Mamba- Convolutional lightweight self-attention medical image segmentation network.

Biomedical physics & engineering express Nov 5, 2024
With the development of deep learning in the field of medical image segmentation, various network segmentation models have been developed. Currently, the most common network models in medical image segmentation can be roughly categorized into pure co...
Algorithms Databases, Factual Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer Image Processing, Computer-Assisted Diagnostic Imaging
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An improved AlexNet deep learning method for limb tumor cancer prediction and detection.

Biomedical physics & engineering express Nov 5, 2024
Synovial sarcoma (SS) is a rare cancer that forms in soft tissues around joints, and early detection is crucial for improving patient survival rates. This study introduces a convolutional neural network (CNN) using an improved AlexNet deep learning c...
Deep Learning Image Processing, Computer-Assisted Area Under Curve Neural Networks, Computer Extremities Humans Algorithms Sarcoma, Synovial Sensitivity and Specificity
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Classification of EEG evoked in 2D and 3D virtual reality: traditional machine learning versus deep learning.

Biomedical physics & engineering express Nov 5, 2024
. Virtual reality (VR) simulates real-life events and scenarios and is widely utilized in education, entertainment, and medicine. VR can be presented in two dimensions (2D) or three dimensions (3D), with 3D VR offering a more realistic and immersive ...
Brain Female Young Adult Neural Networks, Computer Machine Learning Algorithms Virtual Reality Support Vector Machine Electroencephalography Adult Brain-Computer Interfaces Humans Male Deep Learning
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Screening the Best Risk Model and Susceptibility SNPs for Chronic Obstructive Pulmonary Disease (COPD) Based on Machine Learning Algorithms.

International journal of chronic obstructive pulmonary disease Nov 5, 2024
BACKGROUND AND PURPOSE: Chronic obstructive pulmonary disease (COPD) is a common and progressive disease that is influenced by both genetic and environmental factors, and genetic factors are important determinants of COPD. This study focuses on scree...
Polymorphism, Single Nucleotide Aged Genetic Association Studies Phenotype Middle Aged Pulmonary Disease, Chronic Obstructive Logistic Models Case-Control Studies Female Male Humans ROC Curve Predictive Value of Tests Risk Factors Machine Learning Genetic Predisposition to Disease Risk Assessment Algorithms Lung
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A multimodal deep learning-based algorithm for specific fetal heart rate events detection.

Biomedizinische Technik. Biomedical engineering Nov 4, 2024
OBJECTIVES: This study aims to develop a multimodal deep learning-based algorithm for detecting specific fetal heart rate (FHR) events, to enhance automatic monitoring and intelligent assessment of fetal well-being.
Deep Learning Cardiotocography Heart Rate, Fetal Algorithms Pregnancy Female Fetal Monitoring Humans Neural Networks, Computer
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A unified noise and watermark removal from information bottleneck-based modeling.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2024
Both image denoising and watermark removal aim to restore a clean image from an observed noisy or watermarked one. The past research consists of the non-learning type with limited effectiveness or the learning types with limited interpretability. To ...
Algorithms Image Processing, Computer-Assisted Signal-To-Noise Ratio Data Compression Humans Neural Networks, Computer
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FedART: A neural model integrating federated learning and adaptive resonance theory.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2024
Federated Learning (FL) has emerged as a promising paradigm for collaborative model training across distributed clients while preserving data privacy. However, prevailing FL approaches aggregate the clients' local models into a global model through m...
Algorithms Learning Cluster Analysis Humans Neural Networks, Computer Machine Learning
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HirMTL: Hierarchical Multi-Task Learning for dense scene understanding.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2024
In the realm of artificial intelligence, simultaneous multi-task learning is crucial, particularly for dense scene understanding. To address this, we introduce HirMTL, a novel hierarchical multi-task learning framework designed to enhance dense scene...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Learning Comprehension
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Global practical finite-time synchronization of disturbed inertial neural networks by delayed impulsive control.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2024
This paper delves into the practical finite-time synchronization (FTS) problem for inertial neural networks (INNs) with external disturbances. Firstly, based on Lyapunov theory, the local practical FTS of INNs with bounded external disturbances can b...
Time Factors Nonlinear Dynamics Neural Networks, Computer Algorithms Computer Simulation
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Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence-Enabled ECGs.

Journal of the American Heart Association Nov 4, 2024
BACKGROUND: Early detection of left and right ventricular systolic dysfunction (LVSD and RVSD respectively) in children can lead to intervention to reduce morbidity and death. Existing artificial intelligence algorithms can identify LVSD and RVSD in ...
Predictive Value of Tests Ventricular Dysfunction, Right Ventricular Dysfunction, Left Ventricular Function, Right Child, Preschool Child Electrocardiography Echocardiography Infant Adolescent Artificial Intelligence Humans Algorithms Ventricular Function, Left Retrospective Studies Female Stroke Volume Male
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