• DocumentCode
    3338347
  • Title

    Cognitive Modeling in Medical Pattern Semantic Understanding

  • Author

    Ogiela, Lidia ; Tadeusiewicz, Ryszard ; Ogiela, Marek R.

  • Author_Institution
    Fac. of Manage., AGH Univ. of Sci. & Technol., Krakow
  • fYear
    2008
  • fDate
    24-26 April 2008
  • Firstpage
    15
  • Lastpage
    18
  • Abstract
    In the paper the new approach for cognitive modeling of some medical structures, using picture grammar have been presented. Especially was discussed the method of artificial intelligence dedicated to the syntactic-based semantic inference of selected RTG visualizations with particular attention to the leg bones. The presented methodology makes possible to describe for each biological structure, its semantic characteristics, and allow to formulate a semantic meaning of pathological deformation. Presented approach proofed that cognitive informatics based on semantic formalisms can be used to develop a new classes of intelligent computer-aided diagnosis systems. Such systems authors called UBIAS (understanding based image analysis systems).
  • Keywords
    artificial intelligence; knowledge based systems; medical diagnostic computing; RTG visualizations; UBIAS; artificial intelligence; biological structure; cognitive modeling; intelligent computer-aided diagnosis systems; leg bones; medical pattern semantics; medical structures; pathological deformation; picture grammar; syntactic-based semantic inference; understanding based image analysis systems; Artificial intelligence; Biological system modeling; Biomedical imaging; Bones; Cognitive informatics; Intelligent systems; Leg; Medical diagnostic imaging; Pathology; Visualization; cognitive informatics. spatial modeling of medical structures; image understanding; semantic pattern analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Ubiquitous Engineering, 2008. MUE 2008. International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-0-7695-3134-2
  • Type

    conf

  • DOI
    10.1109/MUE.2008.47
  • Filename
    4505685