Results 31 to 40 of about 8,221,919 (357)
Tool to improve qualitative assessment of left ventricular systolic function
Echo Research and Practice, 2020 Interactive online learning tools have revolutionized graduate medical education and can impart echocardiographic image interpretive skills. We created self-paced, interactive online training modules using a repository of echocardiography videos of ...
Daniel P Walsh +5 more
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Images on Halaf Pottery from Syria
Вестник Кемеровского государственного университета, 2022 Pottery marked the advent of the agricultural revolution, transition to sedentary life, and a new era of intellectual development. Man used pottery to communicate important ideas in symbolic form.
F. Majar
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Uncertainties of Human Perception in Visual Image Interpretation in Complex Urban Environments
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Today satellite images are mostly exploited automatically due to advances in image classification methods. Manual visual image interpretation (MVII), however, still plays a significant role e.g., to generate training data for machine-learning algorithms ...
N. Kraff, M. Wurm, H. Taubenböck
semanticscholar +1 more source
Robust Arm and Hand Tracking by Unsupervised Context Learning
Sensors, 2014 Hand tracking in video is an increasingly popular research field due to the rise of novel human-computer interaction methods. However, robust and real-time hand tracking in unconstrained environments remains a challenging task due to the high number of ...
Vincent Spruyt +2 more
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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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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
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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
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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
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