Results 21 to 30 of about 9,617,317 (280)

Image Interpretation and Reporting by Radiographers in Africa: Findings from the Literature Review and their Application to Zambia

open access: yesThe Medical Journal of Zambia, 2021
Background: The need for having reporting radiographers has been a part of the discussion in the last decade in Zambia. This is due to acritical shortage of radiologists, an increase in demand for imaging services, and the radiographers' desire for ...
O. Bwanga   +3 more
semanticscholar   +1 more source

Evaluating the Relationship between Mandibular Third Molar and Mandibular Canal with Semiautomatic Segmentation: A Pilot Study on CBCT Datasets

open access: yesApplied 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
doaj   +1 more source

Full interpretation of minimal images [PDF]

open access: yesCognition, 2018
The goal in this work is to model the process of 'full interpretation' of object images, which is the ability to identify and localize all semantic features and parts that are recognized by human observers. The task is approached by dividing the interpretation of the complete object to the interpretation of multiple reduced but interpretable local ...
Shimon Ullman   +4 more
openaire   +3 more sources

HFCC-Net: A Dual-Branch Hybrid Framework of CNN and CapsNet for Land-Use Scene Classification

open access: yesRemote 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
doaj   +1 more source

Human Mobility Monitoring in Very Low Resolution Visual Sensor Network

open access: yesSensors, 2014
This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 × 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power ...
Nyan Bo Bo   +13 more
doaj   +1 more source

Extrinsic Calibration of Camera Networks Based on Pedestrians

open access: yesSensors, 2016
In this paper, we propose a novel extrinsic calibration method for camera networks by analyzing tracks of pedestrians. First of all, we extract the center lines of walking persons by detecting their heads and feet in the camera images. We propose an easy
Junzhi Guan   +6 more
doaj   +1 more source

Modeling and interpretation of images [PDF]

open access: yesEPJ Web of Conferences, 2015
Imaging protoplanetary disks is a challenging but rewarding task. It is challenging because of the glare of the central star outshining the weak signal from the disk at shorter wavelengths and because of the limited spatial resolution at longer wavelengths.
openaire   +5 more sources

Extrinsic Calibration of Camera Networks Using a Sphere

open access: yesSensors, 2015
In this paper, we propose a novel extrinsic calibration method for camera networks using a sphere as the calibration object. First of all, we propose an easy and accurate method to estimate the 3D positions of the sphere center w.r.t.
Junzhi Guan   +6 more
doaj   +1 more source

CORONA High-Resolution Satellite and Aerial Imagery for Change Detection Assessment of Natural Hazard Risk and Urban Growth in El Alto/La Paz in Bolivia, Santiago de Chile, Yungay in Peru, Qazvin in Iran, and Mount St. Helens in the USA

open access: yesRemote 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

Isotropic non-white matter partial volume effects in constrained spherical deconvolution

open access: yesFrontiers in Neuroinformatics, 2014
Diffusion-weighted (DW) magnetic resonance imaging (MRI) is a noninvasive imaging method, which can be used to investigate neural tracts in the white matter (WM) of the brain.
Timo eRoine   +6 more
doaj   +1 more source

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