• DocumentCode
    2919770
  • Title

    Automatic Understanding of Medical Images Based on Grammar Approach

  • Author

    Ogiela, Marek R.

  • Author_Institution
    AGH Univ. of Sci. & Technol., Krakow
  • fYear
    2007
  • fDate
    5-5 May 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper there will be explained what automatic image understanding is and how it can be applied to understand the medical image content. Especially the attention will be focused to show how to solve the automatic interpretation problem for selected class of medical images by application of linguistic approach using special kind picture description languages. A possibility to conduct such an analysis will be presented on the examples of analysis of patterns received during the examinations of wrist bones, but presented methodology is more general and may be used in interpretation task for many other classes of medical visualisation. Further there will be presented both the general description of methodology join with the tasks of machine automatic understanding using linguistic formalism, as well as some detailed examples showing applicability of presented approach to various kind of medical pattern obtained during medical examinations.
  • Keywords
    computational linguistics; grammars; image classification; medical image processing; grammar approach; linguistic formalism; medical image understanding; picture description language; Biomedical imaging; Conferences; Focusing; Humans; Image analysis; Laboratories; Medical diagnostic imaging; Pathology; Pattern analysis; Signal processing; Automatic understanding; image analysis and classification; medical pattern interpretation; syntactic pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques, 2007. IST '07. IEEE International Workshop on
  • Conference_Location
    Krakow
  • Print_ISBN
    1-4244-0965-9
  • Electronic_ISBN
    1-4244-0965-9
  • Type

    conf

  • DOI
    10.1109/IST.2007.379568
  • Filename
    4258768