Search results for "Computer-assisted"

showing 10 items of 1186 documents

Spherical nonlinear correlations for global invariant three-dimensional object recognition

2007

We define a nonlinear filtering based on correlations on unit spheres to obtain both rotation- and scale-invariant three-dimensional (3D) object detection. Tridimensionality is expressed in terms of range images. The phase Fourier transform (PhFT) of a range image provides information about the orientations of the 3D object surfaces. When the object is sequentially rotated, the amplitudes of the different PhFTs form a unit radius sphere. On the other hand, a scale change is equivalent to a multiplication of the amplitude of the PhFT by a constant factor. The effect of both rotation and scale changes for 3D objects means a change in the intensity of the unit radius sphere. We define a 3D fil…

RotationMaterials Science (miscellaneous)3D single-object recognitionStatistics as TopicInformation Storage and RetrievalSensitivity and SpecificityFacial recognition systemIndustrial and Manufacturing EngineeringPattern Recognition Automatedsymbols.namesakeImaging Three-DimensionalOpticsArtificial IntelligenceImage Interpretation Computer-AssistedBusiness and International ManagementInvariant (mathematics)Physicsbusiness.industryCognitive neuroscience of visual object recognitionReproducibility of ResultsImage EnhancementObject detectionNonlinear systemFourier transformAmplitudeNonlinear DynamicssymbolsbusinessAlgorithmsApplied Optics
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Intraocular lens centration and stability: efficacy of current technique and technology

2008

Purpose of review The manuscript presents a review of recently published studies analyzing different methodologies to assess centration and stability of intraocular lenses after implantation. Recent findings Considering that there is no current gold standard for centration and stability of intraocular lenses after implantation, we have summarized the different techniques used clinically for intraocular lenses centration and stability estimation. We have described the use of Scheimpflug imaging, the anterior segment optical coherence tomography and photography analysis used for lens position estimation. Techniques used to assess lens rotation are based on image analysis on digital retroillum…

Rotationgenetic structuresmedicine.medical_treatmentScheimpflug principleImage processingIntraocular lenslaw.inventionLens Implantation IntraocularOptical coherence tomographyAnterior Eye SegmentlawImage Processing Computer-AssistedPhotographymedicineHumansLenses Intraocularmedicine.diagnostic_testbusiness.industryGeneral MedicineCentrationeye diseasesLens (optics)OphthalmologyIntraocular lensessense organsbusinessTomography Optical CoherenceBiomedical engineeringCurrent Opinion in Ophthalmology
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Navigated percutaneous screw fixation of the pelvis with O-arm 2: two years' experience.

2020

Aim To evaluate the case series of the patients operated with percutaneous fixation by the navigation system based on 3D fluo-roscopic images, to assess the precision of a surgical implant and functional outcome of patients. Methods A retrospective study of pelvic ring fractures in a 2-year period included those treated with the use of the O-Arm 2 in com-bination with the Stealth Station 8. Pelvic fractures were classifi-ed according to the Tile and the Young-Burgess classification. All patients were examined before surgery, with X-rays and CT scans, and three days after surgery with additional CT scan. The positioning of the screws was evaluated according to the Smith score, the outcome wi…

Sacrum3D-fluoroscopic navigationBone ScrewsPelvisIliosacral fixationFracture Fixation InternalImaging Three-DimensionalSurgery Computer-AssistedO-arm Stealth Station S8Fragility fracture of pelvisHumansPelvic ring fracturesTomography X-Ray ComputedRetrospective StudiesMedicinski glasnik : official publication of the Medical Association of Zenica-Doboj Canton, Bosnia and Herzegovina
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Invariant Feature Matching for Image Registration Application Based on New Dissimilarity of Spatial Features

2016

An invariant feature matching method is proposed as a spatially invariant feature matching approach. Deformation effects, such as affine and homography, change the local information within the image and can result in ambiguous local information pertaining to image points. New method based on dissimilarity values, which measures the dissimilarity of the features through the path based on Eigenvector properties, is proposed. Evidence shows that existing matching techniques using similarity metrics--such as normalized cross-correlation, squared sum of intensity differences and correlation coefficient--are insufficient for achieving adequate results under different image deformations. Thus, new…

Satellite ImageryComputer scienceComputer Visionlcsh:MedicineTransportation02 engineering and technology01 natural sciencesPattern Recognition Automated0202 electrical engineering electronic engineering information engineeringImage Processing Computer-Assistedlcsh:ScienceMultidisciplinaryApplied MathematicsSimulation and ModelingPhysicsClassical MechanicsDeformationPhysical SciencesEngineering and Technology020201 artificial intelligence & image processingAlgorithmsResearch ArticleNormalization (statistics)Matching (statistics)Computer and Information SciencesSimilarity (geometry)Imaging TechniquesImage registrationResearch and Analysis MethodsImage (mathematics)010309 optics0103 physical sciencesImage Interpretation Computer-AssistedComputer GraphicsComputer ImagingEigenvalues and eigenvectorsDamage Mechanicsbusiness.industrylcsh:RPattern recognitionEigenvaluesBoatsTarget DetectionAlgebraLinear AlgebraSubtraction TechniquePath (graph theory)lcsh:QAffine transformationArtificial intelligencebusinessEigenvectorsMathematicsHomography (computer vision)PLoS ONE
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An adaptive multimeme algorithm for designing HIV multidrug therapies.

2007

This paper proposes a period representation for modeling the multidrug HIV therapies and an Adaptive Multimeme Algorithm (AMmA) for designing the optimal therapy. The period representation offers benefits in terms of flexibility and reduction in dimensionality compared to the binary representation. The AMmA is a memetic algorithm which employs a list of three local searchers adaptively activated by an evolutionary framework. These local searchers, having different features according to the exploration logic and the pivot rule, have the role of exploring the decision space from different and complementary perspectives and, thus, assisting the standard evolutionary operators in the optimizati…

ScheduleMathematical optimizationComputer scienceAnti-HIV AgentsHIV therapy designAdaptive algorithms; HIV therapy design; Memetic algorithms; Nonlinear integer programming; Algorithms; Anti-HIV Agents; Biomimetics; Computer Simulation; Drug Combinations; Drug Design; Drug Therapy Computer-Assisted; HIV Infections; Humans; Immunity Innate; Models ImmunologicalHIV InfectionsReduction (complexity)Computer-AssistedDrug TherapyModelsBiomimeticsGeneticsInnateHumansComputer SimulationRepresentation (mathematics)MetaheuristicStatistical hypothesis testingFlexibility (engineering)Applied MathematicsNonlinear integer programmingImmunityModels ImmunologicalAdaptive algorithmsImmunity InnateDrug Therapy Computer-AssistedDrug CombinationsImmunologicalDrug DesignMemetic algorithmsMemetic algorithmAlgorithmAlgorithmsBiotechnologyPremature convergenceIEEE/ACM transactions on computational biology and bioinformatics
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Self-organization of active particles by quorum sensing rules

2018

Many microorganisms regulate their behaviour according to the density of neighbours. Such quorum sensing is important for the communication and organisation within bacterial populations. In contrast to living systems, where quorum sensing is determined by biochemical processes, the behaviour of synthetic active particles can be controlled by external fields. Accordingly they allow to investigate how variations of a density-dependent particle response affect their self-organisation. Here we experimentally and numerically demonstrate this concept using a suspension of light-activated active particles whose motility is individually controlled by an external feedback-loop, realised by a particl…

ScienceMovementGeneral Physics and Astronomy02 engineering and technology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyArticleSuspension (chemistry)0103 physical sciencesddc:530Computer Simulation010306 general physicslcsh:SciencePhysicsSelf-organizationMultidisciplinaryActive particlesQQuorum SensingNumerical Analysis Computer-AssistedGeneral Chemistry021001 nanoscience & nanotechnologySilicon DioxideLiving systemsQuorum sensingParticlelcsh:Q0210 nano-technologyBiological systemNature Communications
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Digital recording as a teaching and learning method in the skills laboratory.

2017

Aim and objectives To obtain information on how nursing students react to, think about and learn from digital recording as a learning and teaching method over time. Background Based on the teaching and learning philosophy of the university college, we used digital recording as a tool in our daily sessions in skills laboratory. However, most of the studies referred to in the background review had a duration of from only a few hours to a number of days. We found it valuable to design a study with a duration of two academic semesters. Design A descriptive and interpretative design was used. Method First-year bachelor-level students at the department of nursing participated in the study. Data c…

Self-AssessmentFormative Feedbackmedia_common.quotation_subjectTeaching methodVideo RecordingComputer-assisted web interviewing03 medical and health sciences0302 clinical medicineSurveys and QuestionnairesPedagogyComputingMilieux_COMPUTERSANDEDUCATIONHumansLearningRelevance (information retrieval)030212 general & internal medicinePeer learningDiscovery learningGeneral Nursingmedia_commonDigital recordingPsychomotor learningMedical education030504 nursingTeachingEducation Nursing BaccalaureateGeneral MedicineFeelingStudents Nursing0305 other medical sciencePsychologyJournal of clinical nursing
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Analysis of motor control and behavior in multi agent systems by means of artificial neural networks

2004

Abstract This article gives a short introduction to Self-Organizing Maps, a particular form of Artificial Neural Networks and shows by some examples, how these approaches can be used in order to analyze and visualize time series data originating from complex systems. The methods shown in this article have originally been developed for the analysis of RoboCup robot soccer games, a special kind of so-called Multi Agent Systems. Although this application has no direct connection to biomechanics, the examples shown here may give an impression of the abilities of Neural Networks in the field of Time Series Analysis in general. Because of the abstractness of the methods, it appears to be very lik…

Self-organizing mapEngineeringMovementModels NeurologicalBiophysicsComplex systemContext (language use)Motor ActivityMachine learningcomputer.software_genreField (computer science)AnimalsHumansComputer SimulationOrthopedics and Sports MedicineDiagnosis Computer-AssistedArtificial neural networkbusiness.industryTime delay neural networkMulti-agent systemRoboticsRobotNeural Networks ComputerArtificial intelligencebusinesscomputerAlgorithmsClinical Biomechanics
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The expansion $\star$ mod $\bar{o}(\hbar^4)$ and computer-assisted proof schemes in the Kontsevich deformation quantization

2019

The Kontsevich deformation quantization combines Poisson dynamics, noncommutative geometry, number theory, and calculus of oriented graphs. To manage the algebra and differential calculus of series of weighted graphs, we present software modules: these allow generating the Kontsevich graphs, expanding the noncommutative & x22c6;-product by using a priori undetermined coefficients, and deriving linear relations between the weights of graphs. Throughout this text we illustrate the assembly of the Kontsevich & x22c6;-product up to order 4 in the deformation parameter Already at this stage, the & x22c6;-product involves hundreds of graphs; expressing all their coefficients via 149 w…

Series (mathematics)General MathematicsQuantization (signal processing)Quantum algebraDifferential calculusKontsevich graph complexNoncommutative geometryAssociative algebraAlgebradeformation quantizationtemplate libraryComputer-assisted proofNumber theoryMathematics::K-Theory and HomologyComputer Science::Logic in Computer ScienceMathematics::Quantum AlgebraAssociative algebracomputer-assisted proof schemesoftware modulePOISSON STRUCTURESnoncommutative geometryMathematics
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Experimental approach for testing the uncoupling between cardiovascular variability series

2002

In cardiovascular variability analysis, the significance of the coupling between two series is commonly assessed by defining a zero level on the magnitude-squared coherence (MSC). Although the use of the conventional value of 0.5 does not consider the dependence of MSC estimates on the analysis parameters, a theoretical threshold Tt is available only for the weighted covariance (WC) estimator. In this study, an experimental threshold for zero coherence Te was derived by a statistical test from the sampling distribution of MSC estimated on completely uncoupled time series. MSC was estimated by the WC method (Parzen window, spectral bandwidth B = 0.015, 0.02, 0.025, 0.03 Hz) and by the parame…

Series (mathematics)Kernel density estimationModels CardiovascularMyocardial InfarctionBiomedical EngineeringEstimatorComputer Science Applications1707 Computer Vision and Pattern RecognitionSignal Processing Computer-AssistedCoherence (statistics)CovarianceFeedbackComputer Science ApplicationsSpectral analysiElectrocardiographySampling distributionAutoregressive modelCardiovascular variability serieStatisticsHumansMagnitude-squared coherenceParametric statisticsMathematicsMedical & Biological Engineering & Computing
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