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Semantic Interpretation of Heart Vessel Structures Based on Graph Grammars

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Book cover Computer Vision and Graphics (ICCVG 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6374))

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Abstract

In this paper discussed are the manners of applying methods of computational intelligence to the development of a syntactic semantic description of spatial visualisations of the heart’s coronary vessels. The IT methodology described in this work makes it possible to find, for each biological 3D structure considered, its semantic description whose elements make reference to the medical significance of the entire structure described, while at the same time refrain from the formal differences of individual visualisations.

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Author information

Authors and Affiliations

  1. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Mirosław Trzupek

Authors
  1. Mirosław Trzupek
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008, Warsaw, Poland

    Leonard Bolc

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, 86 Koszykowa St, 02-008 Warsaw, konradw@pjwstk.edu.pl, The Silesian University of Technology, Institute of Computer Science, Akademicka 16, 44-100 Gliwice, Polan

    Konrad Wojciechowski

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Trzupek, M. (2010). Semantic Interpretation of Heart Vessel Structures Based on Graph Grammars. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15910-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-15910-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15909-1

  • Online ISBN: 978-3-642-15910-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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