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Enhancing clinical diagnostics: novel denoising methodology for brain MRI with adaptive masking and modified non-local block
Medical image denoising has been a subject of extensive research, with various techniques employed to enhance image quality and facilitate more...
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ECG Signal Denoising Using an Improved Hybrid DWT-ADTF Approach
PurposeThe electrocardiogram signal (ECG) presents a fundamental source of information to consider for the diagnosis of a heart condition. Given its...
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Dynamic PET images denoising using spectral graph wavelet transform
AbstractPositron emission tomography (PET) is a non-invasive molecular imaging method for quantitative observation of physiological and biochemical...
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An application of deep dual convolutional neural network for enhanced medical image denoising
This work investigates the medical image denoising (MID) application of the dual denoising network (DudeNet) model for chest X-ray (CXR). The DudeNet...
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EWT-IIT: a surface electromyography denoising method
Surface electromyography (sEMG) is often interfered by noise, which has a very important impact on the follow-up research based on sEMG signals, such...
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Real-time denoising of ultrasound images based on deep learning
Ultrasound images are widespread in medical diagnosis for muscle-skeletal, cardiac, and obstetrical diseases, due to the efficiency and...
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Two-stage strategy using denoising autoencoders for robust reference-free genotype imputation with missing input genotypes
Widely used genotype imputation methods are based on the Li and Stephens model, which assumes that new haplotypes can be represented by modifying...
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MLRD-Net: 3D multiscale local cross-channel residual denoising network for MRI-based brain tumor segmentation
The precise segmentation of multimodal MRI images is the primary stage of tumor diagnosis and treatment. Current segmentation strategies often...
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A position-adaptive noise-reduction method using a deep denoising filter bank for dedicated breast positron emission tomography images
Dedicated breast positron emission tomography (db-PET) is more sensitive than whole-body positron emission tomography and is thus expected to detect...
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Strided Self-Supervised Low-Dose CT Denoising for Lung Nodule Classification
Lung nodule classification based on low-dose computed tomography (LDCT) images has attracted major attention thanks to the reduced radiation dose and...
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A fast and efficient algorithm for multi-channel transcranial magnetic stimulation (TMS) signal denoising
TMS signal denoising is crucial for 264-channel TMS high-performance magnetic field detection system application, which can be considered as a...
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Alternative labeling tool: a minimal algorithm for denoising single-subject resting-state fMRI data with ICA-MELODIC
Subject-level independent component analysis (ICA) is a well-established and widely used approach in denoising of resting-state functional magnetic...
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Enhancement and denoising method for low-quality MRI, CT images via the sequence decomposition Retinex model, and haze removal algorithm
The visibility and analyzability of MRI and CT images have a great impact on the diagnosis of medical diseases. Therefore, for low-quality MRI and CT...
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Joint low-rank prior and difference of Gaussian filter for magnetic resonance image denoising
The low-rank matrix approximation (LRMA) is an efficient image denoising method to reduce additive Gaussian noise. However, the existing low-rank...
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Basis pursuit sparse decomposition using tunable-Q wavelet transform (BPSD-TQWT) for denoising of electrocardiograms
The electrocardiogram (ECG) is an essential diagnostic tool to identify cardiac abnormalities. So, the primary issue in an ECG acquisition unit is...
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Recognition of cognitive load with a stacking network ensemble of denoising autoencoders and abstracted neurophysiological features
The safety of human–machine systems can be indirectly evaluated based on operator’s cognitive load levels at each temporal instant. However, relevant...
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An efficient wavelet and curvelet-based PET image denoising technique
Positron emission tomography (PET) image denoising is a challenging task due to the presence of noise and low spatial resolution compared with other...
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Wavelet Based Filters for Artifact Elimination in Electroencephalography Signal: A Review
Electroencephalography (EEG) is a diagnostic test that records and measures the electrical activity of the human brain. Research investigating human...
