0000000000423671

AUTHOR

R Bellotti

showing 3 related works from this author

Transmission of light in deep sea water at the site of the Antares neutrino telescope

2005

The ANTARES neutrino telescope is a large photomultiplier array designed to detect neutrino-induced upward-going muons by their Cherenkov radiation. Understanding the absorption and scattering of light in the deep Mediterranean is fundamental to optimising the design and performance of the detector. This paper presents measurements of blue and UV light transmission at the ANTARES site taken between 1997 and 2000. The derived values for the scattering length and the angular distribution of particulate scattering were found to be highly correlated, and results are therefore presented in terms of an absorption length lambda_abs and an effective scattering length lambda_sct^eff. The values for …

PhotomultiplierPhysics::Instrumentation and DetectorsAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysicsNeutrino telescopeAstrophysicsLambda01 natural sciencesLight scattering[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]Sea water properties: absorption and transmission of lightHigh Energy Physics - Phenomenology (hep-ph)0103 physical sciencesAngular resolution07.89.+b 29.40.Ka 42.25.Bs 42.68.Xy 92.10.Bf 92.10.Pt 95.55.Vj010306 general physicsCherenkov radiationPhysicsneutrino telescope undersea Cherenkov detectors sea water properties absorption and transmission of lightUndersea Cherenkov detectors[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]010308 nuclear & particles physicsScatteringAstrophysics (astro-ph)Astrophysics::Instrumentation and Methods for AstrophysicsAttenuation lengthSea water properties: absorption and transmission of light.Astronomy and AstrophysicsScattering lengthabsorption and transmission of lightHigh Energy Physics - Phenomenology13. Climate actionFísica nuclearsea water propertiesAstroparticle Physics
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Distributed medical images analysis on a Grid infrastructure

2007

In this paper medical applications on a Grid infrastructure, the MAGIC-5 Project, are presented and discussed. MAGIC-5 aims at developing Computer Aided Detection (CADe) software for the analysis of medical images on distributed databases by means of GRID Services. The use of automated systems for analyzing medical images improves radiologists’ performance; in addition, it could be of paramount importance in screening programs, due to the huge amount of data to check and the cost of related manpower. The need for acquiring and analyzing data stored in different locations requires the use of Grid Services for the management of distributed computing resources and data. Grid technologies allow…

GRID; Virtual Organization; Medical ApplicationsComputer Networks and CommunicationsComputer scienceVirtual organizationmammographyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.software_genreGRID; virtual organization; CAD; mammography; medical applicationsSoftwareComputer aided diagnosimedicineMammographyCADComputer visionGridLung tumorDistributed databasemedicine.diagnostic_testmedical applicationsbusiness.industryDigital imagingGridDigital imagingHardware and ArchitectureImage analysiArtificial intelligenceData miningAlzheimer diseasevirtual organizationGRIDbusinesscomputerSoftwareMammography
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A completely automated CAD system for mass detection in a large mammographic database.

2006

Mass localization plays a crucial role in computer-aided detection (CAD) systems for the classification of suspicious regions in mammograms. In this article we present a completely automated classification system for the detection of masses in digitized mammographic images. The tool system we discuss consists in three processing levels: (a) Image segmentation for the localization of regions of interest (ROIs). This step relies on an iterative dynamical threshold algorithm able to select iso-intensity closed contours around gray level maxima of the mammogram. (b) ROI characterization by means of textural features computed from the gray tone spatial dependence matrix (GTSDM), containing secon…

Databases FactualInformation Storage and RetrievalReproducibility of ResultsBreast NeoplasmsSensitivity and SpecificityNeural networkPattern Recognition AutomatedRadiographic Image EnhancementBreast cancerTextural featuresRadiology Information SystemsImage processingComputer-aided detection (CAD)Artificial IntelligenceCluster AnalysisDatabase Management SystemsHumansRadiographic Image Interpretation Computer-AssistedFemaleBreast cancer; Computer-aided detection (CAD); Image processing; Mammographic mass detection; Neural network; Textural featuresMammographic mass detectionAlgorithmsMammographyMedical physics
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