Results 31 to 40 of about 4,697,577 (350)

A Corneal Nerve Segmentation Algorithm Based on Improved ResU-Net [PDF]

open access: yesJisuanji gongcheng, 2021
The automatic segmentation of corneal nerve images is crucial to the diagnosis and screening of several diseases such as diabetic neuropathy,but it suffers from the low segmentation efficiency caused by the low contrast of corneal nerve images and the ...
HAO Huaying, ZHAO Kun, SU Pan, ZHANG Hui, ZHAO Yitian, LIU Jiang
doaj   +1 more source

Frequency-Dependent Intrinsic Electrophysiological Functional Architecture of the Human Verbal Language Network

open access: yesFrontiers in Integrative Neuroscience, 2020
Functional magnetic resonance imaging (fMRI) allowed the spatial characterization of the resting-state verbal language network (vLN). While other resting-state networks (RSNs) were matched with their electrophysiological equivalents at rest and could be ...
Tim Coolen   +15 more
doaj   +1 more source

Molecular Imaging-Derived Biomarker of Cardiac Nerve Integrity — Introducing High NET Affinity PET Probe 18F-AF78

open access: yesTheranostics, 2022
Background: Radiolabeled agents that are substrates for the norepinephrine transporter (NET) can be used to quantify cardiac sympathetic nervous conditions and have been demonstrated to identify high-risk congestive heart failure (HF) patients prone to ...
Xinyu Chen   +9 more
semanticscholar   +1 more source

Automatic Identification of Ultrasound Images of the Tibial Nerve in Different Ankle Positions Using Deep Learning

open access: yesSensors, 2023
Peripheral nerve tension is known to be related to the pathophysiology of neuropathy; however, assessing this tension is difficult in a clinical setting.
Kengo Kawanishi   +5 more
doaj   +1 more source

Scale-attentional U-Net for the segmentation of the median nerve in ultrasound images

open access: yesUltrasonography, 2022
Purpose The aim of this study was to develop a neural network that accurately and effectively segments the median nerve in ultrasound (US) images. Methods In total, 1,305 images of the median nerve of 123 normal subjects were used to train and evaluate ...
B. Kim   +4 more
semanticscholar   +1 more source

Selective peripheral nerve recording using simulated human median nerve activity and convolutional neural networks

open access: yesBioMedical Engineering OnLine, 2023
Background It is difficult to create intuitive methods of controlling prosthetic limbs, often resulting in abandonment. Peripheral nerve interfaces can be used to convert motor intent into commands to a prosthesis. The Extraneural Spatiotemporal Compound
Taseen Jawad   +2 more
doaj   +1 more source

Of Circuits and Brains: The Origin and Diversification of Neural Architectures

open access: yesFrontiers in Ecology and Evolution, 2020
Nervous systems are complex cellular structures that allow animals to interact with their environment, which includes both the external and the internal milieu.
Pedro Martinez   +2 more
doaj   +1 more source

Deep-learning segmentation of fascicles from microCT of the human vagus nerve

open access: yesFrontiers in Neuroscience, 2023
IntroductionMicroCT of the three-dimensional fascicular organization of the human vagus nerve provides essential data to inform basic anatomy as well as the development and optimization of neuromodulation therapies.
Ozge N. Buyukcelik   +17 more
doaj   +1 more source

Hydra: Imaging Nerve Nets in Action [PDF]

open access: yesCurrent Biology, 2017
Mapping whole-brain activity during behavior represents one of the biggest and most exciting challenges of systems neuroscience. New research has taken advantage of the unique biology of an ancient organism to bring us a step closer to that goal.
Ji, Ni, Flavell, Steven Willem
openaire   +4 more sources

Genetic Algorithm-based Convolutional Neural Network Feature Engineering for Optimizing Coronary Heart Disease Prediction Performance [PDF]

open access: yesHealthcare Informatics Research
Objectives This study aimed to optimize early coronary heart disease (CHD) prediction using a genetic algorithm (GA)-based convolutional neural network (CNN) feature engineering approach.
Erwin Yudi Hidayat   +6 more
doaj   +1 more source

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