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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Format: | Article |
Language: | English |
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AGH University of Science and Technology Press
2005-01-01
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Series: | Computer Science |
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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. |
first_indexed | 2024-12-10T21:39:09Z |
format | Article |
id | doaj.art-8bd1bcd43846438da770b3d00ef37903 |
institution | Directory Open Access Journal |
issn | 1508-2806 |
language | English |
last_indexed | 2024-12-10T21:39:09Z |
publishDate | 2005-01-01 |
publisher | AGH University of Science and Technology Press |
record_format | Article |
series | Computer Science |
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 |