AIMC Topic: Wavelet Analysis

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Colonoscopy polyp classification via enhanced scattering wavelet Convolutional Neural Network.

PloS one Oct 11, 2024
Among the most common cancers, colorectal cancer (CRC) has a high death rate. The best way to screen for colorectal cancer (CRC) is with a colonoscopy, which has been shown to lower the risk of the disease. As a result, Computer-aided polyp classific...
Colonoscopy Algorithms Colonic Polyps Colorectal Neoplasms Humans Neural Networks, Computer Wavelet Analysis
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Intelligent computing framework to analyze the transmission risk of COVID-19: Meyer wavelet artificial neural networks.

Computational biology and chemistry Oct 2, 2024
The optimum control methods for the epidemiology of the COVID-19 model are acknowledged using a novel advanced intelligent computing infrastructure that joins artificial neural networks with unsupervised learning-based optimizers i.e., Genetic Algori...
Algorithms Neural Networks, Computer Humans SARS-CoV-2 COVID-19 Wavelet Analysis
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Towards dental diagnostic systems: Synergizing wavelet transform with generative adversarial networks for enhanced image data fusion.

Computers in biology and medicine Oct 2, 2024
The advent of precision diagnostics in pediatric dentistry is shifting towards ensuring early detection of dental diseases, a critical factor in safeguarding the oral health of the younger population. In this study, an innovative approach is introduc...
Neural Networks, Computer Child Wavelet Analysis Radiography, Panoramic Humans
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Adaptive wavelet-VNet for single-sample test time adaptation in medical image segmentation.

Medical physics Oct 1, 2024
BACKGROUND: In medical image segmentation, a domain gap often exists between training and testing datasets due to different scanners or imaging protocols, which leads to performance degradation in deep learning-based segmentation models. Given the hi...
Humans Image Processing, Computer-Assisted Wavelet Analysis Deep Learning Time Factors
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A Lightweight Convolutional Neural Network-Reformer Model for Efficient Epileptic Seizure Detection.

International journal of neural systems Sep 30, 2024
A real-time and reliable automatic detection system for epileptic seizures holds significant value in assisting physicians with rapid diagnosis and treatment of epilepsy. Aiming to address this issue, a novel lightweight model called Convolutional Ne...
Signal Processing, Computer-Assisted Wavelet Analysis Epilepsy Sensitivity and Specificity Humans Seizures Electroencephalography Neural Networks, Computer
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A Learnable and Explainable Wavelet Neural Network for EEG Artifacts Detection and Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 16, 2024
Electroencephalography (EEG) artifacts are very common in clinical diagnosis and can heavily impact diagnosis. Manual screening of artifact events is labor-intensive with little benefit. Therefore, exploring algorithms for automatic detection and cla...
Reproducibility of Results Humans Electroencephalography Neural Networks, Computer Wavelet Analysis Signal Processing, Computer-Assisted Machine Learning Artifacts Algorithms
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Illumination-aware divide-and-conquer network for improperly-exposed image enhancement.

Neural networks : the official journal of the International Neural Network Society Sep 12, 2024
Improperly-exposed images often have unsatisfactory visual characteristics like inadequate illumination, low contrast, and the loss of small structures and details. The mapping relationship from an improperly-exposed condition to a well-exposed one m...
Neural Networks, Computer Algorithms Humans Image Enhancement Wavelet Analysis Image Processing, Computer-Assisted Lighting
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A deep learning phase-based solution in 2D echocardiography motion estimation.

Physical and engineering sciences in medicine Sep 12, 2024
In this paper, we propose a new deep learning method based on Quaternion Wavelet Transform (QWT) phases of 2D echocardiographic sequences to estimate the motion and strain of myocardium. The proposed method considers intensity and phases gained from ...
Movement Algorithms Echocardiography Image Processing, Computer-Assisted Humans Deep Learning Wavelet Analysis
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Prediction of anhedonia in patients with first-episode schizophrenia using a Wavelet-ALFF-based Support vector regression model.

Neuroscience Sep 5, 2024
Anhedonia is one of the core features of the negative symptoms of schizophrenia and can be extremely burdensome. Our study applied resting-state functional magnetic resonance imaging (fMRI)-based support vector regression (SVR) to predict anhedonia i...
Anhedonia Wavelet Analysis Schizophrenic Psychology Brain Mapping Schizophrenia Young Adult Adult Support Vector Machine Magnetic Resonance Imaging Male Brain Female Humans
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Deep learning method with integrated invertible wavelet scattering for improving the quality ofcardiac DTI.

Physics in medicine and biology Sep 5, 2024
Respiratory motion, cardiac motion and inherently low signal-to-noise ratio (SNR) are major limitations ofcardiac diffusion tensor imaging (DTI). We propose a novel enhancement method that uses unsupervised learning based invertible wavelet scatterin...
Image Processing, Computer-Assisted Heart Signal-To-Noise Ratio Humans Deep Learning Diastole Wavelet Analysis Diffusion Tensor Imaging
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