Experimenting Grid Protocols to improve privacy preservation in efficient distributed image processing (Contributo in atti di convegno)

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Label
  • Experimenting Grid Protocols to improve privacy preservation in efficient distributed image processing (Contributo in atti di convegno) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
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  • Galizia A.; Viti F.; D'agostino D.; Merelli I.; Milanesi L.; Clematis A. (2008)
    Experimenting Grid Protocols to improve privacy preservation in efficient distributed image processing
    in International Parallel Computing Conference 2007, RWTH Aachen Univ, Aachen,Germany, SEP 04-07, 2007
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Galizia A.; Viti F.; D'agostino D.; Merelli I.; Milanesi L.; Clematis A. (literal)
Pagina inizio
  • 139 (literal)
Pagina fine
  • 146 (literal)
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  • Published in Parallel Computing: Architectures, Algorithms and Applications , C. Bischof, M. Bucker, P. Gibbon, G.R. Joubert, T. Lippert, B. Mohr, F. Peters (Eds.), John von Neumann Institute for Computing, Julich, NIC Series, Vol. 38, ISBN 978-3-9810843-4-4, pp. 147-154, 2007. Reprinted in: Advances in Parallel Computing, Volume 15, ISSN 0927-5452, ISBN 978-1-58603-796-3 (IOS Press), 2008. (literal)
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  • http://www.booksonline.iospress.nl/Content/View.aspx?piid=8360 (literal)
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  • Parallel Computing: Architectures, Algorithms and Applications (literal)
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  • 15 (literal)
Note
  • ISI Web of Science (WOS) (literal)
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  • Galizia A.; D'agostino D.; Clematis A. IMATI-CNR, Via De Marini 6, 16149 Genova Viti F.; Merelli I.; Milanesi L. ITB-CNR, Via Fratelli Cervi 93, 20090 Segrate (MI), Italy (literal)
Titolo
  • Experimenting Grid Protocols to improve privacy preservation in efficient distributed image processing (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-58603-796-3 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Bischof C.; Bücker M.; Gibbon P.; Joubert G.R.; Lippert T.; Mohr B.; Peters F. (literal)
Abstract
  • In order to share interesting data located in various institutions, it may be necessary to ensure secure accesses and privacy preservation. For example, it is the case of biomedical images, since they are related to confidential information corresponding to real patients. This paper describes an approach to enable the use of PIMA(GE)(2) Lib, Parallel IMAGE processing GEnoa Library, in the the analysis of distributed medical images complying with privacy preservation policy imposed by the owner institutions. To achieve this goal, a set of specialized I/O functions was developed to enable secure remote data access and elaboration. exploiting the Grid infrastructure and without copy data from their original position. The work considers the use of the EGEE infrastructure and the GFAL API. The approach was experimented in the analysis of images obtained through the Tissue MicroArray technique; the tests gave positive results also in the execution time. (literal)
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