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Cognitive Approach to Visual Data Interpretation in Medical Information and Recognition Systems

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Advances in Machine Vision, Image Processing, and Pattern Analysis (IWICPAS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4153))

Abstract

This paper will demonstrates that Computational Intelligence methods based on picture grammar can be efficiently applied to the development of intelligent diagnosis support systems. The computational intelligence methods in the form o linguistic formalism can facilitate an in-depth semantic analysis of the medical patterns and visualizations. The main objective is to present the possibilities of medical structure meaning description and computer interpretation based on selected examples of hand and spinal cord images. Presented further procedures for semantic description and reasoning will be based on the model of cognitive analysis which can imitate the process of reasoning in human mind. The application of such methods allow to detect and classify the most important lesion in the analysed structures.

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References

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Author information

Authors and Affiliations

  1. Faculty of Management, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Lidia Ogiela

  2. Institute of Automatics, AGH University of Science and Technology,  

    Ryszard Tadeusiewicz & Marek R. Ogiela

Authors
  1. Lidia Ogiela
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  2. Ryszard Tadeusiewicz
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  3. Marek R. Ogiela
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Editor information

Editors and Affiliations

  1. Xi’an Jiaotong University, 710049, Xi’an, China

    Nanning Zheng

  2. Department of Mathematics and Computer Science, University of Münster, Einsteinstrasse 62, D-48149, Münster, Germany

    Xiaoyi Jiang

  3. Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xianning West Road 28, 710049, Xi’an, China

    Xuguang Lan

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© 2006 Springer-Verlag Berlin Heidelberg

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Ogiela, L., Tadeusiewicz, R., Ogiela, M.R. (2006). Cognitive Approach to Visual Data Interpretation in Medical Information and Recognition Systems. In: Zheng, N., Jiang, X., Lan, X. (eds) Advances in Machine Vision, Image Processing, and Pattern Analysis. IWICPAS 2006. Lecture Notes in Computer Science, vol 4153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11821045_26

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  • DOI: https://doi.org/10.1007/11821045_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37597-5

  • Online ISBN: 978-3-540-37598-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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