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Link to original content: https://doi.org/10.1007/3-540-48086-2_56
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The Parallel Environment for Endoscopic Image Analysis

  • Conference paper
  • First Online:
Parallel Processing and Applied Mathematics (PPAM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2328))

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Abstract

The jPVM-oriented environment to support high performance computing required for the Endoscopy Recommender System (ERS) is defined. SPMD model of image matching is considered and its two implementations are proposed: Lexicographical Searching Algorithm (LSA) and Gradient Serching Algorithm (GSA). Three classes of experiments are considered and the relative degree of similarity and execution time of each algorithm are analysed. Experimental results illustrating usefulness of the proposed environment for medical diagnosis are also discussed.

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References

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Author information

Authors and Affiliations

  1. The Computer System Architecture Department, Technical University of Gdansk, Poland, Narutowicza 11/12, 80-952, Gdansk, Poland

    Henryk Krawczyk, Aleksander Neyman, Michal Nowikowski & Jamil Saif

Authors
  1. Henryk Krawczyk
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  2. Aleksander Neyman
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  3. Michal Nowikowski
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  4. Jamil Saif
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Editor information

Editors and Affiliations

  1. Institute of Mathematics and Computer Science, Technical University of Czestochowa, Dabrowskiego 73, 42-200, Czestochowa, Poland

    Roman Wyrzykowski

  2. Computer Science Department, University of Tennessee, 122 Volunteer Blvd, Knoxville, TN, 37996-3450, USA

    Jack Dongarra

  3. Computer Science Department, Oklahoma State University, 700 N. Greenwood Ave., Tulsa, OK, 74106, USA

    Marcin Paprzycki

  4. DTU, UNI-C, Danish Computing Centre for Research and Education, Bldg. 304, 2800, Lyngby, Denmark

    Jerzy Waśniewski

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© 2002 Springer-Verlag Berlin Heidelberg

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Krawczyk, H., Neyman, A., Nowikowski, M., Saif, J. (2002). The Parallel Environment for Endoscopic Image Analysis. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2001. Lecture Notes in Computer Science, vol 2328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48086-2_56

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  • DOI: https://doi.org/10.1007/3-540-48086-2_56

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43792-5

  • Online ISBN: 978-3-540-48086-0

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