Abstract
In the paper, we discuss IBL - Instance-Based Learning - as a method of acquiring knowledge, and apply it to the verification of the shape symmetry/asymmetry of the skin lesions. The test verifying whether the asymmetry of the lesion presented in PH2 dataset is conducted using IB3 algorithms. We also verify the construction of the DASMShape asymmetry measure and its results. We achieved classification ratio on DAS values from PH2 around 59% in comparison to 84% achieved on the defined DASMShape measure. It implies that the data verification using IBL algorithms is very vital in order to design reliable dermatological diagnosis supporting systems.
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Was, L., Milczarski, P., Stawska, Z., Wiak, S., Maslanka, P., Kot, M. (2018). Verification of Results in the Acquiring Knowledge Process Based on IBL Methodology. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2018. Lecture Notes in Computer Science(), vol 10841. Springer, Cham. https://doi.org/10.1007/978-3-319-91253-0_69
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