AIMC Topic: Signal-To-Noise Ratio

Clear Filters Showing 81 to 90 of 870 articles

Deep-Learning-Based Reconstruction of Single-Breath-Hold 3 mm HASTE Improves Abdominal Image Quality and Reduces Acquisition Time: A Quantitative Analysis.

Current oncology (Toronto, Ont.) Jan 3, 2025
Breath-hold T2-weighted half-Fourier acquisition single-shot turbo spin echo (HASTE) magnetic resonance imaging (MRI) of the upper abdomen with a slice thickness below 5 mm suffers from high image noise and blurring. The purpose of this prospective ...
Humans Signal-To-Noise Ratio Prospective Studies Breath Holding Female Aged Adult Image Processing, Computer-Assisted Abdomen Magnetic Resonance Imaging Male Middle Aged Deep Learning
View on PubMed DOI

An FPGA-Based SiNW-FET Biosensing System for Real-Time Viral Detection: Hardware Amplification and 1D CNN for Adaptive Noise Reduction.

Sensors (Basel, Switzerland) Jan 3, 2025
Impedance-based biosensing has emerged as a critical technology for high-sensitivity biomolecular detection, yet traditional approaches often rely on bulky, costly impedance analyzers, limiting their portability and usability in point-of-care applica...
Viruses Nanowires Transistors, Electronic Silicon Signal-To-Noise Ratio Humans Neural Networks, Computer Deep Learning Biosensing Techniques
View on PubMed DOI

DHCT-GAN: Improving EEG Signal Quality with a Dual-Branch Hybrid CNN-Transformer Network.

Sensors (Basel, Switzerland) Jan 3, 2025
Electroencephalogram (EEG) signals are important bioelectrical signals widely used in brain activity studies, cognitive mechanism research, and the diagnosis and treatment of neurological disorders. However, EEG signals are often influenced by variou...
Artifacts Signal-To-Noise Ratio Neural Networks, Computer Algorithms Brain Deep Learning Electroencephalography Signal Processing, Computer-Assisted Humans
View on PubMed DOI

An end-to-end implicit neural representation architecture for medical volume data.

PloS one Jan 3, 2025
Medical volume data are rapidly increasing, growing from gigabytes to petabytes, which presents significant challenges in organisation, storage, transmission, manipulation, and rendering. To address the challenges, we propose an end-to-end architectu...
Neural Networks, Computer Algorithms Deep Learning Humans Data Compression Image Processing, Computer-Assisted Magnetic Resonance Imaging Signal-To-Noise Ratio
View on PubMed DOI

Emulating Low-Dose PCCT Image Pairs With Independent Noise for Self-Supervised Spectral Image Denoising.

IEEE transactions on medical imaging Jan 2, 2025
Photon counting CT (PCCT) acquires spectral measurements and enables generation of material decomposition (MD) images that provide distinct advantages in various clinical situations. However, noise amplification is observed in MD images, and denoisin...
Humans Algorithms Signal-To-Noise Ratio Phantoms, Imaging Photons Tomography, X-Ray Computed Image Processing, Computer-Assisted Supervised Machine Learning
View on PubMed DOI

Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT Denoising.

IEEE transactions on medical imaging Jan 2, 2025
Reducing the dose of radiation in computed tomography (CT) is vital to decreasing secondary cancer risk. However, the use of low-dose CT (LDCT) images is accompanied by increased noise that can negatively impact diagnoses. Although numerous deep lear...
Radiation Dosage Humans Neural Networks, Computer Signal-To-Noise Ratio Algorithms Generative Adversarial Networks Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Unsupervised Domain Adaptation for EM Image Denoising With Invertible Networks.

IEEE transactions on medical imaging Jan 2, 2025
Electron microscopy (EM) image denoising is critical for visualization and subsequent analysis. Despite the remarkable achievements of deep learning-based non-blind denoising methods, their performance drops significantly when domain shifts exist bet...
Humans Algorithms Brain Mice Unsupervised Machine Learning Signal-To-Noise Ratio Animals Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Multi-Energy Evaluation of Image Quality in Spectral CT Pulmonary Angiography Using Different Strength Deep Learning Spectral Reconstructions.

Academic radiology Dec 27, 2024
RATIONALE AND OBJECTIVES: To evaluate and compare image quality of different energy levels of virtual monochromatic images (VMIs) using standard versus strong deep learning spectral reconstruction (DLSR) on dual-energy CT pulmonary angiogram (DECT-PA...
Middle Aged Humans Deep Learning Retrospective Studies Aged, 80 and over Female Radiographic Image Interpretation, Computer-Assisted Pulmonary Embolism Adult Pulmonary Artery Aged Male Signal-To-Noise Ratio Radiography, Dual-Energy Scanned Projection Computed Tomography Angiography
View on PubMed DOI

MrSeNet: Electrocardiogram signal denoising based on multi-resolution residual attention network.

Journal of electrocardiology Dec 27, 2024
Electrocardiography (ECG) is a widely used, non-invasive, and cost-effective diagnostic method that plays a crucial role in the early detection and management of cardiac conditions. However, the ECG signal is easily disrupted by various noise signals...
Artifacts Deep Learning Signal-To-Noise Ratio Electrocardiography Humans Signal Processing, Computer-Assisted Algorithms Databases, Factual
View on PubMed DOI

Deep denoising approach to improve shear wave phase velocity map reconstruction in ultrasound elastography.

Medical physics Dec 23, 2024
BACKGROUND: Measurement noise often leads to inaccurate shear wave phase velocity estimation in ultrasound shear wave elastography. Filtering techniques are commonly used for denoising the shear wavefields. However, these filters are often not suffic...
Elasticity Imaging Techniques Animals Goats Signal-To-Noise Ratio Phantoms, Imaging Deep Learning Image Processing, Computer-Assisted Liver
View on PubMed DOI
Popular Topics
Recent Journals