A Web Information System for Medical Image Management View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2004

AUTHORS

César J. Acuña , Esperanza Marcos , Valeria de Castro , Juan A. Hernández

ABSTRACT

In the last years, the use of digital images for medical diagnosis and research has increased considerably. For this reason, it is necessary to develop new and better applications for managing in an effective way a large amounts of medical information. DICOM is the standard for the Digital Imaging and COmmunications in Medicine. However, DICOM information is difficult to interchange and integrate out of the scope of medical specialized equipment. This drawback make difficult its use and its integration in a wide context as the Web. XML is the standard for the information exchange and data transportation between multiple applications. As the XML databases are emerging like the best alternative to storage and manage XML documents, in this work we present a Web Information System to store, in an integrated way, DICOM and Analyze 7.5 files in an XML Database. For its development, the XML schemas for both DICOM and Analyze 7.5 formats have been obtained and the architecture for the integration of XML documents in the XML DB has been defined. More... »

PAGES

49-59

References to SciGraph publications

  • 2003-03. A Methodological Approach for Object-Relational Database Design using UML in SOFTWARE & SYSTEMS MODELING
  • 2002-12. Anatomy of a native XML base management system in THE VLDB JOURNAL
  • 2001-10-10. An Integrated Medical Information System Using XML in THE HUMAN SOCIETY AND THE INTERNET INTERNET-RELATED SOCIO-ECONOMIC ISSUES
  • 2002. MIDAS/BD: A Methodological Framework for Web Database Design in CONCEPTUAL MODELING FOR NEW INFORMATION SYSTEMS TECHNOLOGIES
  • 2004. A Model Driven Approach for XML Database Development in CONCEPTUAL MODELING – ER 2004
  • 2001-09-17. Extending UML for Object-Relational Database Design in ≪UML≫ 2001 — THE UNIFIED MODELING LANGUAGE. MODELING LANGUAGES, CONCEPTS, AND TOOLS
  • Book

    TITLE

    Biological and Medical Data Analysis

    ISBN

    978-3-540-23964-2
    978-3-540-30547-7

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-540-30547-7_6

    DOI

    http://dx.doi.org/10.1007/978-3-540-30547-7_6

    DIMENSIONS

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