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Multistrategic Classification System of Melanocytic Skin Lesions: Architecture and First Results

  • Pawel Cudek
  • Jerzy W. Grzymala-Busse
  • Zdzislaw S. Hippe
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)

Summary

The paper presents a verified project of a computer system for multistrategic classification of melanocytic skin lesions, based on image analysis reinforced by machine learning and decision-making algorithms with the use of voting procedures. We applied Stolz, Menzies and Argenziano strategies.

Keywords

Vote Procedure Edge Detection Algorithm Melanocytic Lesion Dermal Lesion Close Range Photogrammetry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Pawel Cudek
    • 1
  • Jerzy W. Grzymala-Busse
    • 1
    • 2
  • Zdzislaw S. Hippe
    • 1
  1. 1.University of Information Technology and ManagementRzeszowPoland
  2. 2.University of KansasLawrenceUSA

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