• DocumentCode
    3311555
  • Title

    “Multi-agent” approach in endoscopic images diagnosis aid

  • Author

    Le Guillou, C. ; Cauvin, J.M. ; Solaiman, Basel ; Robaszkiewicz, M. ; Roux, C.

  • Author_Institution
    Lab. of LATIM, ENSTB, Brest, France
  • Volume
    2
  • fYear
    1999
  • fDate
    36434
  • Abstract
    Representative of distributed AI, the multi-agent paradigm is of great interest in modeling complex applications: it amounts to a cutting out in autonomous tasks, delegated to entities specialized in an under-field of the system, namely the agents. The difficulty arises in the articulation of these various tasks, i.e. cooperation between agents and management of possible conflicts, in short, the organization and control of the application functioning. On the basis of this general principle, an examination is made of an endoscopic diagnosis aid system with case-based reasoning, integrated in a multi-agent-type architecture worked out in accordance with the “blackboard” model
  • Keywords
    blackboard architecture; case-based reasoning; medical expert systems; medical image processing; multi-agent systems; software agents; autonomous tasks; blackboard model; case-based reasoning; conflicts management; cooperation between agents; distributed AI; endoscopic image diagnosis aid; expert system; multi-agent approach; task articulation; upper digestive endoscopy; Artificial intelligence; Collaboration; Diagnostic expert systems; Endoscopes; Feeds; Layout; Merging; Multiagent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    [Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
  • Conference_Location
    Atlanta, GA
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5674-8
  • Type

    conf

  • DOI
    10.1109/IEMBS.1999.804403
  • Filename
    804403