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Picture languages in machine understanding of medical vizualization

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Języki publikacji
EN
Abstrakty
EN
This paper presents theoretical fundamentals and application of context-free and graph languages for cognitive analysis of selected medical visualization. It shows new opportunities for applying these methods automatic understanding of semantic contents of images in intelligent medical information system. A successful extraction of the crucial semantic content of medical image may contribute considerably to the creation of new intelligent cognitive systems, or medical computer vision systems. Thanks to the new idea of cognitive resonance between a stream of the data extracted from the image using linguistic methods, and expectations following from the language representation of the medical knowledge, it is possible to understand the subject-oriented content of the visual data. This article shows that structural techniques of soft-computing may be applied in automatic classification and machine perception based on semantic pattern content in order to determine the semantic meaning of the patterns.
Rocznik
Strony
71--82
Opis fizyczny
Bibliogr. 6 poz., rys., tab., wykr.
Twórcy
autor
  • AGH University of Science and Technology Institute of Automatics, Al. Mickiewicza 30, PL-30-059 Kraków, Poland
  • AGH University of Science and Technology Institute of Automatics, Al. Mickiewicza 30, PL-30-059 Kraków, Poland
Bibliografia
  • [1] Sonka M., Fitzpatrick J.M. (Eds.p. Handbook of Medical Imaging-. Vol. 2- Medical image processing and analysis. SPIE PRESS, Bellingham WA, 2000.
  • [2] Burgener F.A., Meyers S.P., Tan R.: Differential diagnosis in Magnetic Resonance Imaging. Thieme, Stuttgart, 2001.
  • [3] Bankman I. (Ed.): Handbook of Medical Imaging: Processing and Analysis. Academic Press, 2002.
  • [4] Ogiela M.R., Tadeusiewicz, R.: Artificial intelligence structural imaging techniques in visual pattern analysis and medical data understanding. Pattern Recognition, 36, 2441-2452, 2003
  • [5] Tadeusiewicz R., Ogiela M.R.: Medical Image Understanding Technology. Springer-Verlag, Heidelberg, 2004.
  • [6] Tadeusiewicz, R., Ogiela, M.R.: Structural approach to medical image understanding. Bulletin of the Polish Academy of Sciences - Technical Sciences, 52(2), 131-139, 2004.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0010-0097
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