Skip to main content
Springer Nature Link
Log in

Graph-Based Structural Data Mining in Cognitive Pattern Interpretation

  • Conference paper
Grammatical Inference: Algorithms and Applications (ICGI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4201))

Included in the following conference series:

  • 550 Accesses

Abstract

In this paper we will present opportunities for applying graph based linguistic formalisms for computer automatic understanding of meaning of wrist medical images. Thanks to the proposed method we can understand the merit content of the image even if the form of the image is very different from any known pattern. It seems that in the near future such technique may become one of the effective tools for semantic interpreting, and computer perception of visual medical data.

This work was supported by the AGH University of Science and Technology under Grant No. 10.10.120.39.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Similar content being viewed by others

References

  1. Burgener, F.A., Kormano, M.: Bone and Joint Disorders. Thieme Stuttgart (1997)

    Google Scholar 

  2. Tadeusiewicz, R., Ogiela, M.R.: Medical Image Understanding Technology. Springer, Heildelberg (2004)

    MATH  Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ryszard Tadeusiewicz
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marek R. Ogiela
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, 223-8522, Yokohama, Japan

    Yasubumi Sakakibara

  2. Dept. of Computer Science, Kyoto Sangyo University, Kamigamo Motoyama, Kita-ku, Kyoto, Japan

    Satoshi Kobayashi

  3. Japan Biological Informatics Consortium, 10F TIME24 Building, 2-45 Aomi, Koto-ku, 135-8073, Tokyo, Japan

    Kengo Sato

  4. Department of Information and Communication Engineering, Graduate School of Electro-Communications, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, 182-8585, Tokyo, Japan

    Tetsuro Nishino

  5. Department of Information and Communication Engineering, Faculty of Electro-Communications, The University of Electro-Communications, Chofugaoka 1–5–1, Chofu, 182-8585, Tokyo, Japan

    Etsuji Tomita

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ogiela, L., Tadeusiewicz, R., Ogiela, M.R. (2006). Graph-Based Structural Data Mining in Cognitive Pattern Interpretation. In: Sakakibara, Y., Kobayashi, S., Sato, K., Nishino, T., Tomita, E. (eds) Grammatical Inference: Algorithms and Applications. ICGI 2006. Lecture Notes in Computer Science(), vol 4201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11872436_32

Download citation

  • DOI: https://doi.org/10.1007/11872436_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45264-5

  • Online ISBN: 978-3-540-45265-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics