Search results for "Processi"

showing 10 items of 9638 documents

An Integrated Framework for Web Services Orchestration

2009

International audience; Currently, Web services give place to active research and this is due both to industrial and theoretical factors. On one hand, Web services are essential as the design model of applications dedicated to the electronic business. On the other hand, this model aims to become one of the major formalisms for the design of distributed and cooperative applications in an open environment (the Internet). In this article, the authors will focus on two features of Web services. The first one concerns the interaction problem: given the interaction protocol of a Web service described in BPEL, how to generate the appropriate client? Their approach is based on a formal semantics fo…

medicine.medical_specialtyComputer Networks and Communicationscomputer.internet_protocolComputer science[ INFO.INFO-WB ] Computer Science [cs]/Web0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesBPELWorld Wide WebWeb design0202 electrical engineering electronic engineering information engineeringmedicineWS-AddressingWS-I Basic Profile[INFO.INFO-WB]Computer Science [cs]/WebWEB serviceService-oriented architectureBusiness Process Execution Languagetimed automata equivalence010201 computation theory & mathematics020201 artificial intelligence & image processingWeb serviceWS-PolicyverificationcomputerWeb modelingSoftwareInformation Systems
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Dynamic, Behavior-Based User Profiling Using Semantic Web Technologies in a Big Data Context

2013

pp. 363-372; International audience; The success of shaping the e-society is crucially dependent on how well technology adapts to the needs of each single user. A thorough understanding of one's personality, interests, and social connections facilitate the integration of ICT solutions into one's everyday life. The MindMinings project aims to build an advanced user profile, based on the automatic processing of a user's navigation traces on the Web. Given the various needs underpinned by our goal (e.g. integration of heterogeneous sources and automatic content extraction), we have selected Semantic Web technologies for their capacity to deliver machine-processable information. Indeed, we have…

medicine.medical_specialtyComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technologycomputer.software_genreSocial Semantic Web[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]World Wide Web020204 information systems0202 electrical engineering electronic engineering information engineeringmedicineWeb navigationSemantic Web Stack[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebData Web[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]User profilebusiness.industry[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]020201 artificial intelligence & image processingWeb servicebusinesscomputerWeb modeling
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Snapshot multi-spectral-line imaging for applications in dermatology and forensics

2019

Performance of multi-spectral imaging critically depends on image acquisition time and working spectral bandwidths. Ultimate performance can be achieved if a set of monochromatic (single-wavelength) spectral images is obtained by a single snapshot - a technique provisionally called “snapshot multi-spectral-line imaging” or SMSLI. The SMSLI principle and the developed prototype devices for 3, 4 and 5 spectral line snapshot imaging are described. Two potential practical applications of SMSLI are discussed – for fast mapping of the main in-vivo skin chromophores and for detection of counterfeit banknotes and documents.

medicine.medical_specialtyComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMulti spectralSpectral lineSpectral imagingmedicineImage acquisitionSnapshot (computer storage)Computer visionMonochromatic colorArtificial intelligencebusinessImaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII
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Laser illumination designs for snapshot multi-spectral-line imaging

2019

For multi-spectral imaging, both acquisition time of the spectral image set and the spectral bandwidth of each image have to be minimized. Ultimate performance can be achieved if the set of monochromatic (single-wavelength) spectral images is obtained with a single snapshot — a technique provisionally called "snapshot multi-spectral-line imaging" or SMSLI. Using contemporary RGB colour cameras, up to three spectral line images can be extracted from a snapshot image data cube at specific illumination that comprises only three spectral lines, each of them positioned within one of the detection bands (R, G or B) [1]. Techniques able to provide more spectral line images are under development, a…

medicine.medical_specialtyComputer sciencebusiness.industryData_MISCELLANEOUSMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONLaser01 natural sciencesSpectral linelaw.inventionSpectral imaging010309 opticsData cubeOpticslawComputer Science::Computer Vision and Pattern Recognition0103 physical sciencesmedicineRGB color modelSnapshot (computer storage)Monochromatic colorbusiness
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Neuro-radiosurgery treatments: MRI brain tumor seeded image segmentation based on a cellular automata model

2016

Gross Tumor Volume (GTV) segmentation on medical images is an open issue in neuro-radiosurgery. Magnetic Resonance Imaging (MRI) is the most promi-nent modality in radiation therapy for soft-tissue anatomical districts. Gamma Knife stereotactic neuro-radiosurgery is a mini-invasive technique used to deal with inaccessible or insufficiently treated tumors. During the planning phase, the GTV is usually contoured by radiation oncologists using a manual segmentation procedure on MR images. This methodology is certainly time-consuming and op-erator-dependent. Delineation result repeatability, in terms of both intra- and inter-operator reliability, is only obtained by using computer-assisted appr…

medicine.medical_specialtyComputer sciencemedicine.medical_treatment02 engineering and technologyCellular AutomataBrain tumors; Cellular automata; Gamma knife treatments; MR imaging; Semi-automatic segmentationBrain tumorsRadiosurgery030218 nuclear medicine & medical imagingTheoretical Computer Science03 medical and health sciences0302 clinical medicineGamma Knife treatments0202 electrical engineering electronic engineering information engineeringmedicineSegmentationMri brainModality (human–computer interaction)medicine.diagnostic_testSemi-automatic segmentationbusiness.industryINF/01 - INFORMATICAMagnetic resonance imagingImage segmentationCellular automatonRadiation therapyBrain tumor020201 artificial intelligence & image processingGamma Knife treatmentArtificial intelligenceRadiologybusinessMR imaging
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Head–Neck Cancer Delineation

2021

Head–Neck Cancer (HNC) has a relevant impact on the oncology patient population and for this reason, the present review is dedicated to this type of neoplastic disease. In particular, a collection of methods aimed at tumor delineation is presented, because this is a fundamental task to perform efficient radiotherapy. Such a segmentation task is often performed on uni-modal data (usually Positron Emission Tomography (PET)) even though multi-modal images are preferred (PET-Computerized Tomography (CT)/PET-Magnetic Resonance (MR)). Datasets can be private or freely provided by online repositories on the web. The adopted techniques can belong to the well-known image processing/computer-vision a…

medicine.medical_specialtyComputer sciencemedicine.medical_treatmentImage processinghead–neck cancer (HNC)Head neck cancerlcsh:Technology030218 nuclear medicine & medical imagingTask (project management)head and neck squamous cell carcinoma (HNSCC)lcsh:Chemistry03 medical and health sciencestumor delineation0302 clinical medicinemedicineGeneral Materials ScienceMedical physicsSegmentationlcsh:QH301-705.5InstrumentationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFluid Flow and Transfer Processesmedicine.diagnostic_testlcsh:Tbusiness.industryProcess Chemistry and TechnologyDeep learningsegmentationGeneral EngineeringCT Head and neck squamous cell carcinoma (HNSCC) Head–neck cancer (HNC) MRI Nasopharyngeal cancer (NPC) PET Segmentation Tumor delineationnasopharyngeal cancer (NPC)lcsh:QC1-999Computer Science ApplicationsRadiation therapylcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Positron emission tomography030220 oncology & carcinogenesisArtificial intelligenceTomographylcsh:Engineering (General). Civil engineering (General)businesslcsh:PhysicsCTApplied Sciences
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Artefacts in CBCT: a review

2011

Artefacts are common in today's cone beam CT (CBCT). They are induced by discrepancies between the mathematical modelling and the actual physical imaging process. Since artefacts may interfere with the diagnostic process performed on CBCT data sets, every user should be aware of their presence. This article aims to discuss the most prominent artefacts identified in the scientific literature and review the existing knowledge on these artefacts. We also briefly review the basic three-dimensional (3D) reconstruction concept applied by today's CBCT scanners, as all artefacts are more or less directly related to it.

medicine.medical_specialtyCone beam computed tomographyComputer scienceMetal artefactImage processingReviewImaging Three-DimensionalScattering radiationImage Processing Computer-AssistedmedicineHumansScattering RadiationRadiology Nuclear Medicine and imagingMedical physicsComputer visionGeneral DentistryCone beam ctPhantoms Imagingbusiness.industryGeneral MedicineCone-Beam Computed TomographyModels TheoreticalRadiographic Image EnhancementOtorhinolaryngologyArtificial intelligenceArtifactsbusinessAlgorithmsDentomaxillofacial Radiology
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Variations in acoustical beam properties of intracoronary Doppler catheters.

1993

The limitations of coronary angiography in assessing the functional significance of coronary obstructions is well known. While the critical variable of coronary blood flow cannot be readily measured, intraluminal Doppler sonography offers useful related functional information on blood flow velocity. In order to fully evaluate Doppler signals it is essential to have exact knowledge of the transducer transmission characteristics and of the ultrasound beam topology. In an experimental set-up, the transmitter-receiver characteristics of five commonly used Doppler catheters were investigated. In comparing the beam characteristics we found inhomogeneities in the lateral beam spread. At a penetrat…

medicine.medical_specialtyCoronary DiseaseSignalsymbols.namesakeCoronary CirculationComputer GraphicsMedicineHumansComputer SimulationAngioplasty Balloon CoronaryUltrasonography Interventionalbusiness.industryUltrasoundModels CardiovascularSignal Processing Computer-AssistedBlood flowEquipment DesignLaser Doppler velocimetryEchocardiography DopplerTransducersymbolsUltrasonic sensorRadiologyCardiology and Cardiovascular MedicinebusinessDoppler effectBeam (structure)Blood Flow VelocityBiomedical engineeringCatheterization and cardiovascular diagnosis
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A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation

2015

PurposeMagnetic Resonance guided Focused UltraSound (MRgFUS) represents a non-invasive surgical approach that uses thermal ablation to treat uterine fibroids. After the MRgFUS treatment, an operator must manually segment the treated fibroid areas to evaluate the NonPerfused Volume (NPV). This manual approach is operator-dependent, introducing issues of result reproducibility, which could lead to errors in the subsequent follow-up phase. Moreover, manual segmentation is time-consuming, and can have a negative impact on the optimization of both machine-time and operator-time. MethodTo address these issues, in this paper a novel fully automatic method based on the unsupervised Fuzzy C-Means cl…

medicine.medical_specialtyDatabases FactualUterine fibroidsComputer scienceAdaptive thresholdingImage ProcessingAdaptive thresholding; Automatic segmentation; Fuzzy C-Means clustering; MRgFUS treatment; Uterine fibroids; Female; Humans; Image Processing Computer-Assisted; Leiomyoma; Radiography; Algorithms; Databases Factual; Magnetic Resonance Imaging; Ultrasonography InterventionalHealth InformaticsFuzzy logicDatabasesComputer-AssistedImage Processing Computer-AssistedmedicineHumansSegmentationCluster analysisFactualUltrasonography InterventionalUltrasonographySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInterventionalLeiomyomaPixelbusiness.industryPattern recognitionmedicine.diseaseMagnetic Resonance ImagingFuzzy C-Means clusteringComputer Science ApplicationsSurgeryRadiographyTreatment evaluationMRgFUS treatmentFully automaticFemaleManual segmentationArtificial intelligenceAutomatic segmentationAdaptive thresholding Automatic segmentation Fuzzy C-Means clustering MRgFUS treatment Uterine fibroidsbusinessAlgorithmsUterine fibroids
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HDR Imaging Pipeline for Spectral Filter Array Cameras

2017

Multispectral single shot imaging systems can benefit computer vision applications in needs of a compact and affordable imaging system. Spectral filter arrays technology meets the requirement, but can lead to artifacts due to inhomogeneous intensity levels between spectral channels due to filter manufacturing constraints, illumination and object properties. One solution to solve this problem is to use high dynamic range imaging techniques on these sensors. We define a spectral imaging pipeline that incorporates high dynamic range, demosaicing and color image visualization. Qualitative evaluation is based on real images captured with a prototype of spectral filter array sensor in the visible…

medicine.medical_specialtyDemosaicingColor imageComputer sciencebusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunications02 engineering and technologyReal imageSpectral imagingHigh-dynamic-range imagingFilter (video)Computer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessHigh dynamic range
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