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Feature Tracking

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https://www.readbyqxmd.com/read/28440254/combined-branch-retinal-vein-and-branch-retinal-artery-occlusion-clinical-features-systemic-associations-and-outcomes
#1
Sabyasachi Sengupta, Utsab Pan
PURPOSE: Retinal vascular occlusions affecting both the arterial and venous systems are rare events. Combined branch retinal artery (BRAO) and vein (BRVO) occlusion are exceedingly rare and not well characterized. METHODS: Six patients with combined BRAO and BRVO underwent a comprehensive eye examination, fundus fluorescein angiography, optical coherence tomography, and cardiovascular evaluation. RESULTS: Mean age at presentation was 54 ± 7...
March 2017: Indian Journal of Ophthalmology
https://www.readbyqxmd.com/read/28439538/adaptive-foveated-single-pixel-imaging-with-dynamic-supersampling
#2
David B Phillips, Ming-Jie Sun, Jonathan M Taylor, Matthew P Edgar, Stephen M Barnett, Graham M Gibson, Miles J Padgett
In contrast to conventional multipixel cameras, single-pixel cameras capture images using a single detector that measures the correlations between the scene and a set of patterns. However, these systems typically exhibit low frame rates, because to fully sample a scene in this way requires at least the same number of correlation measurements as the number of pixels in the reconstructed image. To mitigate this, a range of compressive sensing techniques have been developed which use a priori knowledge to reconstruct images from an undersampled measurement set...
April 2017: Science Advances
https://www.readbyqxmd.com/read/28438706/towards-generalizable-entity-centric-clinical-coreference-resolution
#3
Timothy Miller, Dmitriy Dligach, Steven Bethard, Chen Lin, Guergana Savova
OBJECTIVE: This work investigates the problem of clinical coreference resolution in a model that explicitly tracks entities, and aims to measure the performance of that model in both traditional in-domain train/test splits and cross-domain experiments that measure the generalizability of learned models. METHODS: The two methods we compare are a baseline mention-pair coreference system that operates over pairs of mentions with best-first conflict resolution and a mention-synchronous system that incrementally builds coreference chains...
April 21, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28436899/adaptive-backstepping-based-neural-tracking-control-for-mimo-nonlinear-switched-systems-subject-to-input-delays
#4
Ben Niu, Lu Li
This brief proposes a new neural-network (NN)-based adaptive output tracking control scheme for a class of disturbed multiple-input multiple-output uncertain nonlinear switched systems with input delays. By combining the universal approximation ability of radial basis function NNs and adaptive backstepping recursive design with an improved multiple Lyapunov function (MLF) scheme, a novel adaptive neural output tracking controller design method is presented for the switched system. The feature of the developed design is that different coordinate transformations are adopted to overcome the conservativeness caused by adopting a common coordinate transformation for all subsystems...
April 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436874/track-everything-limiting-prior-knowledge-in-online-multi-object-recognition
#5
Sebastien C Wong, Victor Stamatescu, Adam Gatt, David Kearney, Ivan Lee, Mark D McDonnell
This paper addresses the problem of online tracking and classification of multiple objects in an image sequence. Our proposed solution is to first track all objects in the scene without relying on object-specific prior knowledge, which in other systems can take the form of hand-crafted features or user-based track initialization. We then classify the tracked objects with a fastlearning image classifier that is based on a shallow convolutional neural network architecture and demonstrate that object recognition improves when this is combined with object state information from the tracking algorithm...
April 24, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28436842/a-hybrid-image-registration-and-matching-framework-for-real-time-motion-tracking-in-mri-guided-radiotherapy
#6
Matteo Seregni, Chiara Paganelli, Paul Summers, Massimo Bellomi, Guido Baroni, Marco Riboldi
OBJECTIVE: MRI-guided radiotherapy (MRIgRT) is an emerging treatment technique where anatomical and pathological structures are imaged through integrated MR-radiotherapy units. This work aims (i) at assessing the accuracy of optical-flow based motion tracking in liver cine-MRI sequences and (ii) at testing a MRIgRT workflow combining similarity-based image matching with image registration. METHODS: After an initialization stage, a set of template images is collected and registered to the first frame of the cine-MRI sequence...
April 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28435385/a-new-species-of-poropoea-foerster-from-africa-hymenoptera-chalcidoidea-trichogrammatidae
#7
Stefania Laudonia, Gennaro Viggiani, Silvano Biondi
A new species of Poropoea Foerster (Hymenoptera, Chalcidoidea, Trichogrammatidae) was obtained from eggs of attelabid beetles (Coleoptera: Attelabidae) associated with Combretum sp. (Myrtales, Combretaceae). This species is described from Ogooué-Ivindo province in north-eastern Gabon. The new species is easily distinguished from the known members of the genus Poropoea by the following combination of characters: female antennal club unsegmented, premarginal vein of the fore wing with a nodular premarginal vein and the stigma of the stigmal vein black, the wing lacks the RS1 track; front and hind legs more robust than the middle leg and with coxa and femur markedly enlarged, and ovipositor exserted to one-third of the gaster length...
2017: ZooKeys
https://www.readbyqxmd.com/read/28433826/data-summarization-method-for-chronic-disease-tracking
#8
Dejan Aleksić, Petar Rajković, Dušan Vučković, Dragan Janković, Aleksandar Milenković
OBJECTIVES: Bearing in mind the rising prevalence of chronic medical conditions, the chronic disease management is one of the key features required by medical information systems used in primary healthcare. Our research group paid a particular attention to this specific area by offering a set of custom data collection forms and reports in order to improve medical professionals' daily routine. The main idea was to provide an overview of history for chronic diseases, which, as it seems, had not been properly supported in previous administrative workflows...
April 19, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28433605/stability-of-patient-specific-features-of-altered-dna-replication-timing-in-xenografts-of-primary-human-acute-lymphoblastic-leukemia
#9
Takayo Sasaki, Juan Carlos Rivera-Mulia, Daniel Vera, Jared Zimmerman, Sunny Das, Michelle Padget, Naoto Nakamichi, Bill H Chang, Jeff Tyner, Brian J Druker, Andrew P Weng, Curt I Civin, Connie J Eaves, David M Gilbert
Genome-wide DNA replication timing (RT) profiles reflect the global 3D chromosome architecture of cells. They also provide a comprehensive and unique megabase-scale picture of the cellular epigenetic state. Thus normal differentiation involves reproducible changes in RT and transformation generally perturbs these, although the potential effects of altered RT on the properties of transformed cells remain largely unknown. A major challenge to interrogating these issues in human acute lymphoid leukemia (ALL) is the low proliferative activity of most of the cells, which may be further reduced in cryopreserved samples and difficult to overcome in vitro...
April 19, 2017: Experimental Hematology
https://www.readbyqxmd.com/read/28431279/cognitive-control-in-action-tracking-the-dynamics-of-rule-switching-in-5-to-8-year-olds-and-adults
#10
Christopher D Erb, Jeff Moher, Joo-Hyun Song, David M Sobel
Recent studies have suggested that dissociable processes featuring distinct types of inhibition support cognitive control in tasks requiring participants to override a prepotent response with a control-demanding alternative response. An open question concerns how these processes support cognitive flexibility in rule-switching tasks. We used a technique known as reach tracking to investigate how 5- to 8-year-olds (Experiment 1) and adults (Experiment 2) select, maintain, and switch between incompatible rule sets in a computerized version of the Dimensional Change Card Sort (DCCS)...
April 17, 2017: Cognition
https://www.readbyqxmd.com/read/28427411/tendon-motion-tracking-in-an-ultrasound-image-sequence-using-optical-flow-based-block-matching
#11
Bo-I Chuang, Jian-Han Hsu, Li-Chieh Kuo, I-Ming Jou, Fong-Chin Su, Yung-Nien Sun
BACKGROUND: Tendon motion, which is commonly observed using ultrasound imaging, is one of the most important features used in tendinopathy diagnosis. However, speckle noise and out-of-plane issues make the tracking process difficult. Manual tracking is usually time consuming and often yields inconsistent results between users. METHODS: To automatically track tendon motion in ultrasound images, we developed a new method that combines the advantages of optical flow and multi-kernel block matching...
April 20, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28426512/technology-in-s-c-assessing-bodyweight-squat-technique-with-wearable-sensors
#12
Martin A O'Reilly, Darragh F Whelan, Tomas E Ward, Eamonn Delahunt, Brian M Caulfield
Strength and conditioning (S&C) coaches offer expert guidance to help those they work with achieve their personal fitness goals. However it is not always practical to operate under the direct supervision of an S&C coach and consequently individuals are often left training without expert oversight. Recent developments in inertial measurement units (IMUs) and mobile computing platforms have allowed for the possibility of unobtrusive motion tracking systems and the provision of real-time individualised feedback regarding exercise performance...
April 15, 2017: Journal of Strength and Conditioning Research
https://www.readbyqxmd.com/read/28425433/prior-context-in-audition-informs-binding-and-shapes-simple-features
#13
Claire Chambers, Sahar Akram, Vincent Adam, Claire Pelofi, Maneesh Sahani, Shihab Shamma, Daniel Pressnitzer
A perceptual phenomenon is reported, whereby prior acoustic context has a large, rapid and long-lasting effect on a basic auditory judgement. Pairs of tones were devised to include ambiguous transitions between frequency components, such that listeners were equally likely to report an upward or downward 'pitch' shift between tones. We show that presenting context tones before the ambiguous pair almost fully determines the perceived direction of shift. The context effect generalizes to a wide range of temporal and spectral scales, encompassing the characteristics of most realistic auditory scenes...
April 20, 2017: Nature Communications
https://www.readbyqxmd.com/read/28424847/characterization-of-microtubule-buckling-in-living-cells
#14
Carla Pallavicini, Alejandro Monastra, Nicolás González Bardeci, Diana Wetzler, Valeria Levi, Luciana Bruno
Microtubules are filamentous biopolymers involved in essential biological processes. They form key structures in eukaryotic cells, and thus it is very important to determine the mechanisms involved in the formation and maintenance of the microtubule network. Microtubule bucklings are transient and localized events commonly observed in living cells and characterized by a fast bending and its posterior relaxation. Active forces provided by molecular motors have been indicated as responsible for most of these rapid deformations...
April 19, 2017: European Biophysics Journal: EBJ
https://www.readbyqxmd.com/read/28423779/fast-and-efficient-feature-engineering-for-multi-cohort-analysis-of-ehr-data
#15
Michal Ozery-Flato, Chen Yanover, Assaf Gottlieb, Omer Weissbrod, Naama Parush Shear-Yashuv, Yaara Goldschmidt
We present a framework for feature engineering, tailored for longitudinal structured data, such as electronic health records (EHRs). To fast-track feature engineering and extraction, the framework combines general-use plug-in extractors, a multi-cohort management mechanism, and modular memoization. Using this framework, we rapidly extracted thousands of features from diverse and large healthcare data sources in multiple projects.
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28422678/correlation-filter-learning-toward-peak-strength-for-visual-tracking
#16
Yao Sui, Guanghui Wang, Li Zhang
This paper presents a novel visual tracking approach to correlation filter learning toward peak strength of correlation response. Previous methods leverage all features of the target and the immediate background to learn a correlation filter. Some features, however, may be distractive to tracking, like those from occlusion and local deformation, resulting in unstable tracking performance. This paper aims at solving this issue and proposes a novel algorithm to learn the correlation filter. The proposed approach, by imposing an elastic net constraint on the filter, can adaptively eliminate those distractive features in the correlation filtering...
April 13, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28422660/weak-classifier-for-density-estimation-in-eye-localization-and-tracking
#17
Gabriel M Araujo, Felipe M L Ribeiro, Waldir S Junior, Eduardo A B da Silva, Siome K Goldenstein
In this work, we propose a fast weak classifier that can detect and track eyes in video sequences. The approach relies on a least-squares detector based on the Inner Product Detector (IPD) that can estimate a probability density distribution for a feature's location - which fits naturally with a Bayesian estimation cycle, such as a Kalman or particle filter. As a leastsquares sliding window detector, it possesses tolerance to small variations in the desired pattern while maintaining good generalization capabilities and computational efficiency...
April 13, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28421319/inferior-vena-cava-segmentation-with-parameter-propagation-and-graph-cut
#18
Zixu Yan, Feng Chen, Fa Wu, Dexing Kong
PURPOSE: The inferior vena cava (IVC) is one of the vital veins inside the human body. Accurate segmentation of the IVC from contrast-enhanced CT images is of great importance. This extraction not only helps the physician understand its quantitative features such as blood flow and volume, but also it is helpful during the hepatic preoperative planning. However, manual delineation of the IVC is time-consuming and poorly reproducible. METHODS: In this paper, we propose a novel method to segment the IVC with minimal user interaction...
April 18, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28421305/the-utility-of-global-longitudinal-strain-in-the-identification-of-prior-myocardial-infarction-in-patients-with-preserved-left-ventricular-ejection-fraction
#19
Graham J Fent, Pankaj Garg, James R J Foley, Laura E Dobson, Tarique A Musa, Bara Erhayiem, John P Greenwood, Sven Plein, Peter P Swoboda
Prior myocardial infarction (MI) is associated with increased mortality and is prevalent in certain high risk patient groups. Electrocardiogram may be used in diagnosis, however, sensitivity is limited, thus non-invasive imaging techniques may improve diagnosis. We investigated whether global longitudinal strain (GLS) and longitudinal strain parameters are reduced in patients with prior MI but preserved left ventricular ejection fraction (LVEF). The study included 40 clinical patients with prior MI occurring >3 months previously (defined as subendocardial hyperenhancement on late Gadolinium enhancement imaging) with LVEF ≥ 55% and 40 controls matched for age and LVEF...
April 18, 2017: International Journal of Cardiovascular Imaging
https://www.readbyqxmd.com/read/28421208/enhancing-tumor-detection-in-ir-uwb-breast-cancer-system
#20
Sara Fouad, Reda Ghoname, Abd Elmonem Elmahdy, Abd Elhalim Zekry
An ultra-wideband (UWB) microwave system for breast cancer detection is presented. The proposed system includes monocycle pulse generator, antipodal Vivaldi antenna, breast model, and calibration algorithm for tumor detection. Firstly, our pulse generator employs transmission gate in glitch generator to achieve several advantages such as low power consumption and low ringing level. Secondly, the antipodal Vivaldi antenna is designed assuming FR4 dielectric substrate material, and developed antenna element (80 × 80 mm(2)) features a -10 dB return loss and bandwidth ranges from 2...
2017: International Scholarly Research Notices
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