Search results for "Method"

showing 10 items of 13253 documents

Enhanced detection of contrast regions in echocardiograms by adaptive quantization

2002

The statistics of ultrasound echo images are governed by Rayleigh statistics. The authors derive some experimentally verifiable predictions of this theory, compare them with experimental results obtained from echocardiographic images, and derive a new color coding scheme, (adaptive quantization) that is adapted to the signal-dependent noise predicted by theory. This results in some technical advantages and in an improved discrimination of regions of the echo image that are enhanced by echo contrast material. >

business.industryQuantization (signal processing)Physics::Medical PhysicsEcho (computing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContrast (statistics)Noisesymbols.namesakeSignal-to-noise ratioColors of noisesymbolsProbability distributionComputer visionArtificial intelligenceRayleigh scatteringbusinessAlgorithmMathematics[1991] Proceedings Computers in Cardiology
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General anesthesia for oral and dental care in paediatric patients with special needs : a systematic review

2020

Background The objective of this study is to conduct a systematic review of the literature on the characteristics, needs and current situation of dental care for pediatric patients with special needs. Material and methods An exhaustive search for literature published until June 1, 2020. It was carried out using PubMed, Web of Science, Scopus, Cochrane and EBSCO, with the following keywords: Oral Surgical Procedures and Dentistry, Operational and Anesthesia, General Y (Spanish[lang] or English[lang] ) Y (infant[MeSH] Or child[MeSH] Or adolescent[MeSH]). The research was carried out following the PRISMA research methodology. Results The most common indication for general anesthesia (GA) was t…

business.industryResearch methodologyDental proceduresMEDLINESpecial needsReviewOral Surgical ProceduresDental careOdontologiaPreventive careAnestèsia en pediatriaAnesthesiaMedicineOdontostomatology for the Disabled or Special PatientsbusinessGeneral DentistryUNESCO:CIENCIAS MÉDICASPaediatric patients
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Progress in analysis of residual antibacterials in food

2007

Abstract Residual antibacterials in food constitute a risk to human health. Although epidemiological data on the real magnitude of their adverse effects are very scarce, they indicate that food could be an important avenue for evolution and dissemination of antibiotic-resistant bacteria. Analysis of these residues plays a key role in ensuring food safety, to the point that the European Union has not only established maximum residue limits but also requirements concerning the performance of analytical methods and the interpretation of the results. These specifications have had a great influence on protocols and techniques applied. In this review, we discuss the progress of rapid screening me…

business.industryResidualFood safetyChemical sensorAnalytical ChemistryHuman healthRisk analysis (engineering)Environmental chemistryPerformance requirementScreening methodmedia_common.cataloged_instanceBusinessEuropean unionSpectroscopymedia_commonTrAC Trends in Analytical Chemistry
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The Complex Process of Haemostasis and Interactions due to Hyperosmotic Fluids

2017

business.industryScientific methodMedicineBiochemical engineeringbusinessEditorial CommentTurkish Journal of Anesthesia and Reanimation
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<title>Human cell texture analysis with quincunx spline wavelet transform</title>

1999

Wavelet transforms are efficient tools for texture analysis and classification. Separable techniques are classically used but present several drawbacks. First, diagonal coefficients contain poor information. Second, the other coefficients contain useful information only if the texture is oriented in the vertical and horizontal directions. So an approach of texture analysis by non-separable transform is proposed. An improved interscale resolution is allowed by the quincunx scheme and this analysis leads to only one detail image where no particular orientation is favored. New orthogonal isotropic filters for the decomposition are constructed by applying McClellan transform on one dimension B-…

business.industrySecond-generation wavelet transformStationary wavelet transformSpline waveletComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformSpline (mathematics)WaveletQuincunxComputer visionArtificial intelligencebusinessInfinite impulse responseAlgorithmMathematicsHuman Vision and Electronic Imaging IV
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Location and characterization of the stem-calyx area on oranges by computer vision

1996

Three image analysis methods were studied and evaluated to solve the problem of removing long stems attached to mechanically harvested oranges: colour segmentation based on linear discriminant analysis, contour curvature analysis, and a thinning process which involves iterating until the stem becomes a skeleton. These techniques are able to determine the presence or absence of a stem with certainty, to locate the stems from random views with more than 90% accuracy and from profile images with an accuracy ranging from 92.4% to 100% depending on the method used. Finally, determination of the length and cutting point of the stem is achieved with only 3.8% of failures. (C) 1996 Silsoe Research …

business.industrySegmentationComputer visionRangingArtificial intelligenceAquatic ScienceCurvature analysisbusinessLinear discriminant analysisAnalysis methodCalyxMathematicsCitrus fruit
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Hidden Markov Random Field model and BFGS algorithm for Brain Image Segmentation

2016

Brain MR images segmentation has attracted a particular focus in medical imaging. The automatic image analysis and interpretation became a necessity. Segmentation is one of the key operations to provide a crucial decision support to physicians. Its goal is to simplify the representation of an image into items meaningful and easier to analyze. Hidden Markov Random Fields (HMRF) provide an elegant way to model the segmentation problem. This model leads to the minimization problem of a function. BFGS (Broyden-Fletcher-Goldfarb-Shanno algorithm) is one of the most powerful methods to solve unconstrained optimization problem. This paper presents how we combine HMRF and BFGS to achieve a good seg…

business.industrySegmentation-based object categorizationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationPattern recognitionImage segmentationMachine learningcomputer.software_genreSørensen–Dice coefficientBroyden–Fletcher–Goldfarb–Shanno algorithmSegmentationArtificial intelligenceHidden Markov random fieldbusinessHidden Markov modelcomputerMathematicsProceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence
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<title>Multiresolution description of range images through 2D quincunx wavelet analysis</title>

1999

In this paper, we present a method for performing a multi- scale analysis on range images by using the wavelet transform, that is capable of revealing multi-resolution information. An accurate non-contact optical system based upon laser triangulation is used to determine the depth information of the object being scanned. The resulting range image is treated as a gray-level image by using a multi- resolution approach based on the generalization of the cascade algorithm using the quincunx wavelet transform. The quincunx wavelet assures very fine analysis. This method allows reconstruction of non-subsampled images that correspond to decompositions previously done at chosen scales. Multi-resolu…

business.industryStationary wavelet transformMultiresolution analysisComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformCascade algorithmIterative reconstructionWaveletQuincunxPolygon meshComputer visionArtificial intelligencebusinessMathematicsWavelet Applications VI
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Optimization of the straightness measurements on rough surfaces by Monte Carlo simulation

2013

Summary The straightness error of a coordinate measuring machine (CMM) is determined by measuring a rule standard. Thanks to a reversal technique, the straightness uncertainty of the CMM is theoretically dissociated from the straightness uncertainty of the rule. However, stochastic variations of the whole measurement system involve uncertainties of the CMM straightness error. To quantify these uncertainties, different sources of stochastic variations are listed with their associated probability density functions. Then Monte Carlo methods are performed first to quantify error and secondly to optimize measurement protocol. It is shown that a 5-measurement distance from 0.1 mm to each measurem…

business.industrySystem of measurementMonte Carlo methodAutocorrelationProbability density functionSurface finishCoordinate-measuring machineAtomic and Molecular Physics and OpticsOpticsSurface roughnessReduction (mathematics)businessInstrumentationAlgorithmMathematicsScanning
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Physical Education Pedagogy: an analysis of research published in Spanish journals (2005–2014)

2016

ABSTRACTBackground: The majority of reviews related to Physical Education Pedagogy (PEP) refer to the English-speaking world. Some of these assert the need to obtain more data and provide reviews of what has been investigated in languages other than English to be able to assess the current state of the field internationally.Purpose: The aim of this study was to identify, categorise, and analyse articles on PEP published in Spanish sport science journals during the last decade (2005–2014).Participants and setting: A total of 13 journals were selected: 8 were indexed in the Scopus databases, and 5 were added based on expert judgement due to their importance in the field of Spanish PEP.Researc…

business.industryTeaching methodSports science05 social sciencesScopus050301 educationPhysical Therapy Sports Therapy and Rehabilitation030229 sport sciencesTeacher educationEducationPhysical education03 medical and health sciences0302 clinical medicineContent analysisPedagogyOrthopedics and Sports MedicineElectronic publishingSociologybusiness0503 educationCurriculumPhysical Education and Sport Pedagogy
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