AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Signal-To-Noise Ratio

Showing 401 to 410 of 822 articles

Clear Filters

Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction.

Japanese journal of radiology Mar 14, 2022
PURPOSE: To evaluate the utility of deep learning-based image reconstruction (DLIR) algorithm in unenhanced abdominal low-dose CT (LDCT).
Signal-To-Noise Ratio Algorithms Tomography, X-Ray Computed Deep Learning Humans Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage
View on PubMed DOI

Reconstructing high fidelity digital rock images using deep convolutional neural networks.

Scientific reports Mar 11, 2022
Imaging methods have broad applications in geosciences. Scanning electron microscopy (SEM) and micro-CT scanning have been applied for studying various geological problems. Despite significant advances in imaging capabilities, and image processing al...
Image Processing, Computer-Assisted Signal-To-Noise Ratio X-Ray Microtomography Neural Networks, Computer Algorithms
View on PubMed DOI

SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI.

NeuroImage Mar 1, 2022
Diffusion tensor magnetic resonance imaging (DTI) is a widely adopted neuroimaging method for the in vivo mapping of brain tissue microstructure and white matter tracts. Nonetheless, the noise in the diffusion-weighted images (DWIs) decreases the acc...
Image Processing, Computer-Assisted Humans Signal-To-Noise Ratio Neural Networks, Computer Diffusion Tensor Imaging Deep Learning
View on PubMed DOI

Deep Learning-Based Diffusion-Weighted Magnetic Resonance Imaging in the Diagnosis of Ischemic Penumbra in Early Cerebral Infarction.

Contrast media & molecular imaging Feb 28, 2022
The prefiltered image was imported into the local higher-order singular value decomposition (HOSVD) denoising algorithm (GL-HOSVD)-optimized diffusion-weighted imaging (DWI) image, which was compared with the deviation correction nonlocal mean (NL me...
Brain Ischemia Artifacts Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Humans Stroke Deep Learning Cerebral Infarction
View on PubMed DOI

5G Massive MIMO Signal Detection Algorithm Based on Deep Learning.

Computational intelligence and neuroscience Feb 27, 2022
Aiming at the problems of poor signal detection effect caused by many interference factors in large-scale MIMO technology scene, this paper proposes a 5G massive MIMO signal detection algorithm based on deep learning. Firstly, the MIMO system model b...
Neural Networks, Computer Algorithms Signal-To-Noise Ratio Technology Deep Learning
View on PubMed DOI

An EEG Classification-Based Method for Single-Trial N170 Latency Detection and Estimation.

Computational and mathematical methods in medicine Feb 18, 2022
Event-related potentials (ERPs) can reflect the high-level thinking activities of the brain. In ERP analysis, the superposition and averaging method is often used to estimate ERPs. However, the single-trial ERP estimation can provide researchers with...
Signal Processing, Computer-Assisted Linear Models Humans Young Adult Signal-To-Noise Ratio Neural Networks, Computer Support Vector Machine Evoked Potentials Adult Computational Biology Brain Models, Neurological Male Logistic Models Electroencephalography Computer Simulation Female
View on PubMed DOI

A back-projection-and-filtering-like (BPF-like) reconstruction method with the deep learning filtration from listmode data in TOF-PET.

Medical physics Feb 17, 2022
PURPOSE: The time-of-flight (TOF) information improves signal-to-noise ratio (SNR) for positron emission tomography (PET) imaging. Existing analytical algorithms for TOF PET usually follow a filtered back-projection process on reconstructing images f...
Algorithms Deep Learning Signal-To-Noise Ratio Image Processing, Computer-Assisted Phantoms, Imaging Positron-Emission Tomography
View on PubMed DOI

Hybrid deep-learning-based denoising method for compressed sensing in pituitary MRI: comparison with the conventional wavelet-based denoising method.

European radiology Feb 15, 2022
OBJECTIVES: This study aimed to evaluate the efficacy of a combined wavelet and deep-learning reconstruction (DLR) method for under-sampled pituitary MRI.
Humans Algorithms Signal-To-Noise Ratio Retrospective Studies Deep Learning Magnetic Resonance Imaging
View on PubMed DOI

Denoising of pediatric low dose abdominal CT using deep learning based algorithm.

PloS one Jan 21, 2022
OBJECTIVES: To evaluate standard dose-like computed tomography (CT) images generated by a deep learning method, trained using unpaired low-dose CT (LDCT) and standard-dose CT (SDCT) images.
Radiography, Abdominal Abdomen Radiation Dosage Signal-To-Noise Ratio Female Male Deep Learning Child, Preschool Child Image Processing, Computer-Assisted Humans Algorithms Tomography, X-Ray Computed
View on PubMed DOI

Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches.

Computational and mathematical methods in medicine Jan 20, 2022
Epileptic seizures occur due to brain abnormalities that can indirectly affect patient's health. It occurs abruptly without any symptoms and thus increases the mortality rate of humans. Almost 1% of world's population suffers from epileptic seizures....
Signal Processing, Computer-Assisted Signal-To-Noise Ratio Humans Logistic Models Neural Networks, Computer Diagnosis, Computer-Assisted Machine Learning Electroencephalography Support Vector Machine Deep Learning Epilepsy Algorithms Bayes Theorem Computational Biology Seizures Databases, Factual
View on PubMed DOI
Popular Topics
Recent Journals