Search results for "image analysis."

showing 10 items of 144 documents

Fasciola hepatica phenotypic characterization in Andean human endemic areas: Valley versus altiplanic patterns analysed in liver flukes from sheep fr…

2011

Fascioliasis is a zoonotic parasitic disease caused by Fasciola hepatica and Fasciola gigantica. Of both species, F. hepatica is the only one described in the Americas, mainly transmitted by lymnaeid snail vectors of the Galba/. Fossaria group. Human fascioliasis endemic areas are mainly located in high altitude areas of Andean countries. Given the necessity to characterize F. hepatica populations involved, the phenotypic features of fasciolid adults infecting sheep present in human fascioliasis endemic areas were analysed in the Cajamarca Valley and Mantaro Valley (valley transmission patterns) and the northern Bolivian Altiplano (altiplanic transmission pattern). A computer image analysis…

Ovis ariesorganisms by sizeRange (biology)GastropodaFasciola giganticageographic originFossariaLymnaeidaelaw.inventionlawPerucomparative studynon|phenotypeeducation.field_of_studybiologyEcologyparasite transmissionarticleLiver flukeEuropeFasciolidaemultivariate analysisPhenotypeInfectious DiseasesTransmission (mechanics)Parasitic diseasecomputer analysisaltitudeMicrobiology (medical)protozoal geneticsBoliviaFascioliasisFasciola giganticaPopulationPhenotypic characterizationSheep DiseasesZoology//purl.org/pe-repo/ocde/ford#3.03.08 [https]Microbiologyanimal tissueanimal parasitosisHuman endemic areasimage analysisHepaticaparasitic diseasesGeneticsmedicineAnimalsHumansFasciola hepaticacontrolled studyeducationMolecular Biologyendemic diseaseEcology Evolution Behavior and SystematicsSheeputerus|FascioliasisFasciola hepaticabiology.organism_classificationmedicine.diseasebreedingInfection, Genetics and Evolution
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A visual framework to create photorealistic retinal vessels for diagnosis purposes

2020

The methods developed in recent years for synthesising an ocular fundus can be been divided into two main categories. The first category of methods involves the development of an anatomical model of the eye, where artificial images are generated using appropriate parameters for modelling the vascular networks and fundus. The second type of method has been made possible by the development of deep learning techniques and improvements in the performance of hardware (especially graphics cards equipped with a large number of cores). The methodology proposed here to produce high-resolution synthetic fundus images is intended to be an alternative to the increasingly widespread use of generative ad…

PLUS DISEASEData augmentationFundus OculiComputer scienceCOMPUTER-AIDED DIAGNOSISIMAGESSEGMENTATIONComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHealth InformaticsSynthetic retinal imageFundus (eye)Fundus image analysisStatistical featuresTORTUOSITY03 medical and health sciences0302 clinical medicineImage Processing Computer-AssistedComputer vision030212 general & internal medicineGraphics030304 developmental biologyGraphical user interfaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni0303 health sciencesSettore INF/01 - Informaticabusiness.industryDeep learningRetinal VesselsReal imageComputer Science ApplicationsPredictive evaluation diseasesFILTERA priori and a posterioriArtificial intelligencebusinessSYSTEMJournal of Biomedical Informatics
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A distributed genetic algorithm for restoration of vertical line scratches

2008

This paper reports a distributed algorithm for the restoration of still frames corrupted by vertical line scratches. The restoration is here approached as an optimisation problem, and is solved using an ad-hoc Genetic Algorithm. The distributed algorithm is designed following a pipeline logical structure. The front end is a network of standard workstations with heterogeneous operating systems. The quality of image is appreciable and the computational time is quite low with respect the sequential version.

Parallel computingOptimisation problemGeneticalgorithmBrooks–Iyengar algorithmSettore INF/01 - InformaticaComputer Networks and CommunicationsComputer sciencePipeline (computing)Parallel algorithmLinescratch removalParallel computingComputer Graphics and Computer-Aided DesignTheoretical Computer ScienceImage (mathematics)Artificial IntelligenceHardware and ArchitectureDistributed algorithmGenetic algorithmDistributed systemParallel Programming Scratch Detection Image AnalysisSoftwareParallel Computing
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Dynamic interface for machine vision systems

2002

Iconic programming intends to provide expressive tools to implement, to debug, and to execute programs. For this purpose, visual languages need pictorial constructs and metaphors to guide the design of algorithms in interactive fashion. In the paper a new class of dynamic visual interfaces, named DIVA (Dynamic Interface for Visual Applications), is introduced, its properties are described, and an application to visual compilers in a multi-processors system dedicated to image analysis is given. Moreover, a formal definition of dynamic icon (DI) is also given.

Parallel processing (psychology)Settore INF/01 - Informaticabusiness.industryMachine visionComputer scienceProgramming languagemedia_common.quotation_subjectMachine vision Humans Computer interfaces Time varying systems Computer science Algorithm design and analysis Image analysis Parallel processing Virtual reality Multimedia systemsVirtual realitycomputer.software_genreDebuggingComputer graphics (images)Algorithm designCompilerArtificial intelligenceIconbusinesscomputerGraphical user interfacecomputer.programming_languagemedia_commonProceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5)
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Reflectance mode confocal microscopy and digital image analysis in naevus of Hori and pathogenetic evaluation

2012

Pathologymedicine.medical_specialtyOpticsbusiness.industryConfocal microscopylawDigital image analysisMode (statistics)MedicineDermatologybusinessReflectivitylaw.inventionBritish Journal of Dermatology
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Measurement of Multiphase Flow Characteristics Via Image Analysis Techniques: The Fluidization Case Study

2012

In this chapter, an overview on some imaging-based experimental techniques for the analysis of complex multiphase systems is reported. In particular, some techniques aimed at the study of fluidization dynamics will be analyzed and discussed, as developed by our research group

Physics::Fluid DynamicsSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciMaterials scienceFLUIDIZATIONMultiphase flowIMAGE ANALYSIS THECNIQUE FLUIDIZED BEDMechanicsFluidizationIMAGE ANALYSISImage (mathematics)
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Post-processing of Pixel and Object-Based Land Cover Classifications of Very High Spatial Resolution Images

2020

The state of the art is plenty of classification methods. Pixel-based methods include the most traditional ones. Although these achieved high accuracy when classifying remote sensing images, some limits emerged with the advent of very high-resolution images that enhanced the spectral heterogeneity within a class. Therefore, in the last decade, new classification methods capable of overcoming these limits have undergone considerable development. Within this research, we compared the performances of an Object-based and a Pixel-Based classification method, the Random Forests (RF) and the Object-Based Image Analysis (OBIA), respectively. Their ability to quantify the extension and the perimeter…

PixelComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONObject basedLand coverClass (biology)Random forestObject-Based image analysisRemote sensing (archaeology)Computer Science::Computer Vision and Pattern RecognitionVector based generalizationHigh spatial resolutionObject-Based image analysis; Random forest; Vector based generalizationState (computer science)Settore ICAR/06 - Topografia E CartografiaRandom forestRemote sensing
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On the Choice of the Most Suitable Period to Map Hill Lakes via Spectral Separability and Object-Based Image Analyses

2023

Technological advances in Earth observation made images characterized by high spatial and temporal resolutions available, nevertheless bringing with them the radiometric heterogeneity of small geographical entities, often also changing in time. Among small geographical entities, hill lakes exhibit a widespread distribution, and their census is sometimes partial or shows unreliable data. High resolution and heterogeneity have boosted the development of geographic object-based image analysis algorithms. This research analyzes which is the most suitable period for acquiring satellite images to identify and delimitate hill lakes. This is achieved by analyzing the spectral separability of the su…

Regionalizationregionalization; geographic object-based image analysis; Euclidean distance; divergence; hill lakeshill lakesgeographic object-based image analysiGeneral Earth and Planetary SciencesEuclidean distancedivergenceSettore ICAR/06 - Topografia E CartografiaRemote Sensing
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Metodi automatici di analisi e caratterizzazione di esami radiologici del massiccio facciale.

L'obiettivo di questo lavoro è lo sviluppo di algoritmi e procedure di analisi di referti radiografici digitali di tipo CBCT delle strutture della mandibola e dell’apparato dentario. In particolare, mediante un’opportuna campagna di sperimentazione, in collaborazione con i reparti di radiologia ed odontoiatria del Policlinico di Palermo, è stata realizzata un procedura in grado di: • eliminare i problemi di sovrapponibilità dei referti tridimensionali effettuati in tempi successivi; • identificare lo spazio parodontale su indagini CBCT per la valutazione dei possibili difetti nello stesso e prevedere l’insorgenza di parodontiti. • individuare gli elementi di maggiore interesse medico caratt…

Registrazione di Immagini medicali Correlazione d'immagini tridimensionali Correlazione di Immagini Digitali Segmentazione Contorni Attivi Identificazione elementi dentari operatori morfologicimatrici di traslazione e rotazione procedure di analisi per immagini CBCT del maxillo faccialeMedical Image Registration Three-dimensional Image Correlation Digital Image Correlation Segmentation Active Contours Dental Identification Morphological Operators Traslation and rotation matirx CBCT maxillo facial image analysis procedures
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Evaluating diagnostic indicators of urogenital Schistosoma haematobium infection in young women: A cross sectional study in rural South Africa

2018

BackgroundUrine microscopy is the standard diagnostic method for urogenital S. haematobium infection. However, this may lead to under-diagnosis of urogenital schistosomiasis, as the disease may present itself with genital symptoms in the absence of ova in the urine. Currently there is no single reliable and affordable diagnostic method to diagnose the full spectrum of urogenital S. haematobium infection. In this study we explore the classic indicators in the diagnosis of urogenital S. haematobium infection, with focus on young women.MethodsIn a cross-sectional study of 1237 sexually active young women in rural South Africa, we assessed four diagnostic indicators of urogenital S. haematobium…

Rural PopulationPhysiologyCross-sectional studylcsh:MedicineArtificial Gene Amplification and ExtensionUrineUrinePolymerase Chain ReactionGastroenterologySchistosomiasis haematobiaSouth Africa0302 clinical medicineMedicine and Health SciencesSchistosomiasis030212 general & internal medicinelcsh:Scienceqy_185Schistosoma haematobiumMultidisciplinarybiologyEukaryotawc_810Latent class modelBody Fluids3. Good healthHelminth Infectionsqx_355SchistosomaFemaleAnatomyResearch ArticleNeglected Tropical DiseasesAdultmedicine.medical_specialtyAdolescentUrogenital SchistosomiasisImaging TechniquesUrology030231 tropical medicineImage AnalysisResearch and Analysis MethodsSensitivity and SpecificityYoung Adult03 medical and health sciencesDiagnostic MedicineHelminthsInternal medicineparasitic diseasesParasitic DiseasesmedicineHumansAnimalsSex organMolecular Biology TechniquesMolecular BiologySchistosomaIncontinencebusiness.industryGenitourinary systemlcsh:ROrganismsBiology and Life SciencesGold standard (test)Tropical Diseasesbiology.organism_classificationwj_20InvertebratesSchistosoma HaematobiumCross-Sectional Studieslcsh:QbusinessPLOS ONE
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