Marek Ogiela, Mirosław Trzupek


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.


Medical pattern recognition; artificial intelligence; heart disease diagnosis; biomedical engineering; image understanding

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