Graph Image Languages In Semantic Description Of Spatial Coronary Arteries Structure

In this paper has been proposed developing the new syntactic – semantic meaning descriptionof spatial coronary arteries structure. Thanks such description will be possible to makeessentially steered semantic interpretation of section coronary arteries morphology, what willallow us fast identification...

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Main Authors: Marek Ogiela, Mirosław Trzupek
Format: Article
Language:English
Published: AGH University of Science and Technology Press 2005-01-01
Series:Computer Science
Subjects:
Online Access:http://journals.agh.edu.pl/csci/article/download/274/191
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author Marek Ogiela
Mirosław Trzupek
author_facet Marek Ogiela
Mirosław Trzupek
author_sort Marek Ogiela
collection DOAJ
description In this paper has been proposed developing the new syntactic – semantic meaning descriptionof spatial coronary arteries structure. Thanks such description will be possible to makeessentially steered semantic interpretation of section coronary arteries morphology, what willallow us fast identification and automatisation of lumen stricture detection. In this aim hasbeen used graph image languages based on the expansive graph grammars of edNLC type,enabling creation the universal and informative meaning description of spatial coronaryarteries structure. Application of such semantic description in the integrated modules ofintelligent systems medical diagonosis, supporting the early detection stricture which defectthe flow of oxidizing blood to given area of cardiac muscle.
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spelling doaj.art-8bd1bcd43846438da770b3d00ef379032022-12-22T01:32:33ZengAGH University of Science and Technology PressComputer Science1508-28062005-01-01711510.7494/csci.2005.7.4.115Graph Image Languages In Semantic Description Of Spatial Coronary Arteries StructureMarek Ogiela0Mirosław Trzupek1Akademia Górniczo-HutniczaAkademia Górniczo-HutniczaIn this paper has been proposed developing the new syntactic – semantic meaning descriptionof spatial coronary arteries structure. Thanks such description will be possible to makeessentially steered semantic interpretation of section coronary arteries morphology, what willallow us fast identification and automatisation of lumen stricture detection. In this aim hasbeen used graph image languages based on the expansive graph grammars of edNLC type,enabling creation the universal and informative meaning description of spatial coronaryarteries structure. Application of such semantic description in the integrated modules ofintelligent systems medical diagonosis, supporting the early detection stricture which defectthe flow of oxidizing blood to given area of cardiac muscle.http://journals.agh.edu.pl/csci/article/download/274/191Medical pattern recognition; artificial intelligence; heart disease diagnosis; biomedical engineering; image understanding
spellingShingle Marek Ogiela
Mirosław Trzupek
Graph Image Languages In Semantic Description Of Spatial Coronary Arteries Structure
Computer Science
Medical pattern recognition; artificial intelligence; heart disease diagnosis; biomedical engineering; image understanding
title Graph Image Languages In Semantic Description Of Spatial Coronary Arteries Structure
title_full Graph Image Languages In Semantic Description Of Spatial Coronary Arteries Structure
title_fullStr Graph Image Languages In Semantic Description Of Spatial Coronary Arteries Structure
title_full_unstemmed Graph Image Languages In Semantic Description Of Spatial Coronary Arteries Structure
title_short Graph Image Languages In Semantic Description Of Spatial Coronary Arteries Structure
title_sort graph image languages in semantic description of spatial coronary arteries structure
topic Medical pattern recognition; artificial intelligence; heart disease diagnosis; biomedical engineering; image understanding
url http://journals.agh.edu.pl/csci/article/download/274/191
work_keys_str_mv AT marekogiela graphimagelanguagesinsemanticdescriptionofspatialcoronaryarteriesstructure
AT mirosławtrzupek graphimagelanguagesinsemanticdescriptionofspatialcoronaryarteriesstructure