Results 21 to 30 of about 2,186,291 (292)
Applied Sciences, 2022 Inferior alveolar nerve injury is the main complication in mandibular third molar surgery. In this context, cone-beam computed tomography (CBCT) has become of crucial importance in evaluating the relationship between mandibular third molar and inferior ...
Rossana Izzetti +3 more
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HFCC-Net: A Dual-Branch Hybrid Framework of CNN and CapsNet for Land-Use Scene Classification
Remote Sensing, 2023 Land-use scene classification (LUSC) is a key technique in the field of remote sensing imagery (RSI) interpretation. A convolutional neural network (CNN) is widely used for its ability to autonomously and efficiently extract deep semantic feature maps ...
Ningbo Guo +6 more
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Optimal Short-Time Acquisition Schemes in High Angular Resolution Diffusion-Weighted Imaging
International Journal of Biomedical Imaging, 2013 This work investigates the possibilities of applying high-angular-resolution-diffusion-imaging- (HARDI-) based methods in a clinical setting by investigating the performance of non-Gaussian diffusion probability density function (PDF) estimation for a ...
V. Prčkovska +7 more
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RadBench : benchmarking image interpretation skills [PDF]
, 2016 Purpose: The key aim of this research was to develop an objective, accurate assessment tool with which to provide regular measurement and monitoring of image interpretation performance.
Reeves, P +3 more
core +1 more source
Statistics Learning Network Based on the Quadratic Form for SAR Image Classification
Remote Sensing, 2019 The convolutional neural network (CNN) has shown great potential in many fields; however, transferring this potential to synthetic aperture radar (SAR) image interpretation is still a challenging task. The coherent imaging mechanism causes the SAR signal
Chu He +4 more
doaj +1 more source
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
Diagnostics, 2020 Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts and tumors.
Michael G. Endres +12 more
doaj +1 more source
Eliminating Stripe Artifacts in Light-Sheet Fluorescence Imaging
, 2018 We report two techniques to mitigate stripe artifacts in light-sheet fluorescence imaging. The first uses an image processing algorithm called the multidirectional stripe remover (MDSR) method to filter stripes from an existing image.
Durian, Douglas J. +2 more
core +1 more source
Nigerian Postgraduate Medical Journal, 2017 Background: Low-field (LF) magnetic resonance imaging (MRI) is a technology that is widely used in resource-limited settings for clinical imaging. The images produced, even though of low resolution with noise and artefacts, provide valuable information ...
Godwin Ogbole +4 more
doaj +1 more source
Remote Sensing, 2020 Urban growth and natural hazard events are continuous trends and reliable monitoring is demanded by organisations such as the Intergovernmental Panel on Climate Change, the United Nations Office for Disaster Risk Reduction, or the United Nations Human ...
Alexander Fekete
doaj +1 more source
, 2010 A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm. A dual mathematical interpretation of the proposed framework
Mallat, Stéphane +2 more
core +3 more sources