Abstract
The problem tackled in this work is the semantic interpretation and an attempt at computer automatic understanding of a 3D structure of spatially visualised coronary vessels with the use of AI graph-based linguistic formalisms. At the stage of the initial analysis, it was found that the problem is subject to numerous important limitations. These limitations result, among other things from the serious obstacles encountered in the development of a universal standard, defining the model shape of the healthy or diseased organ that could possibly undergo typical recognition. Due to this difficulties a decision was made to apply the methods of automatic image understanding for the interpretation of the images considered, which consequently leads to their semantic descriptions. For this purpose the linguistic approach was applied.
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Trzupek, M., Ogiela, M.R., Tadeusiewicz, R. (2009). Image Content Analysis for Cardiac 3D Visualizations. In: Velásquez, J.D., RÃos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04595-0_24
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DOI: https://doi.org/10.1007/978-3-642-04595-0_24
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