Bingol, OkanPacaci, SerdarGuvenc, Ugur2021-12-012021-12-012020978-3-030-36178-5; 978-3-030-36177-82367-4512https://doi.org/10.1007/978-3-030-36178-5_69https://hdl.handle.net/20.500.12684/10717International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME) -- APR 20-22, 2019 -- Antalya, TURKEYSkin cancer is a type of cancer that attracts attention with the increasing number of cases. Detection of the lesion area on the skin has an important role in the diagnosis of dermatologists. In this study, 5 different entropy methods such as Kapur, Tsallis, Havrda and Charvat, Renyi and Minimum Cross were applied to determine the lesion area on dermoscopic images. Stochastic fractal search algorithm was used to determine threshold values with these 5 methods. PH2 data set was used for skin lesion images.en10.1007/978-3-030-36178-5_69info:eu-repo/semantics/closedAccessLesion segmentationEntropyStochastic fractal searchConference Object438018112-s2.0-85083430554WOS:000678771000069Q3N/A