Results 231 to 240 of about 5,057,517 (289)

Choroid Plexus Enlargement and USPIO‐Based Inflammatory Feature in Cerebral Small Vessel Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The choroid plexus (CP) is a key component of the blood–cerebrospinal fluid barrier (BCSFB), but its mechanism of action in cerebral small vessel disease (CSVD) remains unclear. This study investigated CP volume (CPV) alterations and their association with conventional imaging markers in CSVD and explored the underlying role of ...
Yongqiang Qu   +11 more
wiley   +1 more source

Classifying Sleep Slow Oscillations in Low Density EEG. [PDF]

open access: yesNeuroinformatics
Gaither J   +3 more
europepmc   +1 more source

Indication adherence and outcome of post-operative radiotherapy in oral cavity cancer patients with intermediate adverse pathological tumor features: A nationwide population-based analysis. [PDF]

open access: yesClin Transl Radiat Oncol
van Oorschot HD   +5 more
europepmc   +1 more source

Local Orthogonal Moments for Local Features

IEEE Transactions on Image Processing, 2023
By introducing parameters with local information, several types of orthogonal moments have recently been developed for the extraction of local features in an image. But with the existing orthogonal moments, local features cannot be well-controlled with these parameters.
Jianwei Yang   +4 more
openaire   +2 more sources

Localized scleroderma: Imaging features

Pediatric Radiology, 1994
Localized scleroderma is distinct from the diffuse form of scleroderma and does not show Raynaud's phenomenon and visceral involvement. The imaging features in 23 patients ranging from 2 to 17 years of age (mean 11.1 years) were reviewed. Leg length discrepancy and muscle atrophy were the most common findings (five patients), with two patients also ...
P, Liu   +5 more
openaire   +2 more sources

Feature Extraction Using Problem Localization

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982
Feature extraction is considered as a mean-quare estimation of the Bayes risk vector. The problem is simplified by partitioning the distribution space into local subregions and performing a linear estimation in each subregion. A modified clustering algorithm is used to fimd the partitioning which minimizes the mean-square error.
Short, Robert D., Fukunaga, Keinosuke
openaire   +2 more sources

Using feature locality

Proceedings of the 8th workshop on Assurances for self-adaptive systems, 2011
Despite the best efforts of software engineers, faults still escape into deployed software. Developers need time to prepare and distribute fixes, and in the interim deployments must either tolerate or avoid failures. Self-adaptive systems, systems that adapt to meet changing requirements in a dynamic environment, have a daunting task if their ...
Brady J. Garvin   +2 more
openaire   +1 more source

Local Feature Normalization

2021
In deep learning, Batch Normalization (BN) is a widely used fundamental technique in Convolutional Neural Networks (CNNs) to improve the training speed and generalization capability of CNNs due to its effectiveness and simplicity. However, BN only focuses on global features and normalizes the whole feature map while ignoring the importance of the local
Ning Jiang   +3 more
openaire   +1 more source

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