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.
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Cudek, P., Grzymala-Busse, J.W., Hippe, Z.S. (2011). Asymmetry of Digital Images Describing Melanocytic Skin Lesions. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_63
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DOI: https://doi.org/10.1007/978-3-642-20320-6_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20319-0
Online ISBN: 978-3-642-20320-6
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