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Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms

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Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images

Part of the book series: Studies in Computational Intelligence ((SCI,volume 46))

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Authors and Affiliations

  1. Department of Computing and Information Systems, University of Luton, LU1 3JU, Luton, UK

    V. Schetinin

  2. Department of Computing and Department of Cybernetics, Bradford University, BD7 1DP, Bradford, UK

    Prof. Valentina Zharkova

  3. Anvaser Consulting, Toronto, Canada

    A. Brazhnikov

  4. Department of Applied Mathematics, University of Sheffield, SH3, Sheffield, UK

    S. I. Zharkov

  5. Istituto di Scienza e Tecnologie dell'Informazione – CNR, Via Moruzzi 1, I- 6124, Pisa, Italy

    Emanuele Salerno

  6. Istituto di Scienza e Tecnologie dell'Informazione – CNR, Via Moruzzi 1, I- 6124, Pisa, Italy

    Luigi Bedini

  7. Istituto di Scienza e Tecnologie dell'Informazione – CNR, Via Moruzzi 1, I- 6124, Pisa, Italy

    Ercan E. Kuruoglu

  8. Istituto di Scienza e Tecnologie dell'Informazione – CNR, Via Moruzzi 1, I- 6124, Pisa, Italy

    Anna Tonazzini

  9. Electrical Engineering and Computer Science, Smetanova ulica 17, SI-2000, Maribor, Slovenia

    Damjan Zazula

  10. Electrical Engineering and Computer Science, Smetanova ulica 17, SI-2000, Maribor, Slovenia

    Boris Cigale

  11. Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 75 Blossom Court, Suite 220, 2114, Boston, MA, USA

    Hiroyuki Yoshida

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  1. Bradford University, BD7 1DP, Bradford, UK

    Valentina Zharkova

  2. University of South Australia, Mawson Lake Campus, SA 5095, South Australia, Australia

    Lakhmi C. Jain

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Schetinin, V. et al. (2007). Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms. In: Zharkova, V., Jain, L.C. (eds) Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images. Studies in Computational Intelligence, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-47518-7_4

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