Abstract
This publication presents the idea of cognitive systems of data analysis for 3D reconstructions of image data. Systems that conduct cognitive analyses are designed so that semantic analyses can be used to interpret data. These types of systems are built for various types of data, but the primary subject of this publication is the presentation of cognitive systems for analysing many-dimensional medical images of large vessels, namely coronary arteries. An analysis conducted in UBIAS - Understanding Based Image Analysis Systems - will be used to illustrate the method of enhancing this class of systems with processes whereby these systems learn new solutions about which the systems have no knowledge. The proposed solution demonstrates the method of building a new class of systems: E-UBIAS - Extended Understanding Based Image Analysis Systems.
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Ogiela, L., Ogiela, M.R. (2012). Bio-Inspired Image Analysis Using E-Ubias Cognitive Systems. In: Watada, J., Watanabe, T., Phillips-Wren, G., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29920-9_25
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DOI: https://doi.org/10.1007/978-3-642-29920-9_25
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