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Asymmetry of Digital Images Describing Melanocytic Skin Lesions

  • Pawel Cudek
  • Jerzy W. Grzymala-Busse
  • Zdzislaw S. Hippe
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)

Abstract

This paper presents a method for automatic identification of asymmetry in digital images containing melanocytic skin lesion. Our method is a part of the new system for classifying skin lesion using Stolz strategy, based on the primary ABCD rule.

Keywords

Perpendicular Axis Hazard Degree Blue Nevus Symmetric Lesion Digital Medical Image 
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 2011

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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