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UBIAS systems for cognitive interpretation and analysis of medical images

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Języki publikacji
EN
Abstrakty
EN
The main subject of this publication is to present a selected class of cognitive categorisation systems-understanding based image analysis systems (UBIAS) which support analyses of data recorded in the form of images. Cognitive categorisation systems operate by following particular type of thought, cognitive, and reasoning processes which take place in a human mind and which ultimately lead to making an in-depth description of the analysis and reasoning process. The most important element in this analysis and reasoning process is that it occurs both in the human ability cognitive/thinking process and in the system's information/reasoning process that conducts the in-depth interpretation and analysis of data.
Twórcy
autor
  • AGH University of Science and technology, 30 Mickiewicza Ave., 30-059 Kraków, Poland
Bibliografia
  • [1] Foundations of Intelligent Systems, 14th Int. Symp., ISMIS 2003, edited by Zhong, Z.W. Raś, S. Tsumoto, and E. Suzuki, Maebashi City, Japan, 2003.
  • [2] L. Ogiela: Cognitive understanding based image analysis systems (UBIAS) of the diagnostic type. IEEE Int. Workshop on Imaging Systems and Techniques - IST, Kraków, Poland, CD-ROM, 2007.
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  • [6] M. R. Ogiela and R. Tadeusiewicz, Modern Computational Intelligence Methods for the Interpretation of Medical Images, Springer-Verlag Berlin Heidelberg, 2008.
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  • [9] R. Tadeusiewicz and M. R. Ogiela, Medical Image Understanding Technology, Artificial Intelligence and Soft-Computing for Image Understanding, Springer-Verlag Berling Heildelberg, 2004.
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  • [15] L. Ogiela, R. Tadeusiewicz, and M. R. Ogiela: Cognitive approach to visual data interpretation in medical information and recognition systems. IWICPAS, LNCS 4153, Springer-Verlag Berlin Heidelberg, 244-250, 2006.
  • [16] M. R. Ogiela, R. Tadeusiewicz, and L. Ogiela: Intelligent semantic information retrieval in medical pattern cognitive analysis. Computational Science and its Applications - ICCSA 3483 (Lect. Notes Comput. Sc.), 852-857, 2005.
  • [17] R. Tadeusiewicz and M. R. Ogiela: New proposition for intelligent systems design: Artificial understanding of the images as the next step of advanced data analysis after automatic classification and pattern recognition. in Intelligent Systems Design and Applications, IEEE Computer Society Press, pp. 297-300, edited by H. Kwasnicka, M. Paprzycki, Los Alamitos, Washington, Brussels, Tokyo, 2005, Proc. 5th Int. Conf. on Intelligent Systems Design and Application - ISDA 2005, Wrocław, Poland, 2005.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAD-0016-0041
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