Entropy-Based Skin Lesion Segmentation Using Stochastic Fractal Search Algorithm

dc.contributor.authorBingol, Okan
dc.contributor.authorPacaci, Serdar
dc.contributor.authorGuvenc, Ugur
dc.date.accessioned2021-12-01T18:49:24Z
dc.date.available2021-12-01T18:49:24Z
dc.date.issued2020
dc.department[Belirlenecek]en_US
dc.descriptionInternational Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME) -- APR 20-22, 2019 -- Antalya, TURKEYen_US
dc.description.abstractSkin 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.en_US
dc.identifier.doi10.1007/978-3-030-36178-5_69
dc.identifier.endpage811en_US
dc.identifier.isbn978-3-030-36178-5; 978-3-030-36177-8
dc.identifier.issn2367-4512
dc.identifier.scopus2-s2.0-85083430554en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage801en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-36178-5_69
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10717
dc.identifier.volume43en_US
dc.identifier.wosWOS:000678771000069en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofArtificial Intelligence And Applied Mathematics In Engineering Problemsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLesion segmentationen_US
dc.subjectEntropyen_US
dc.subjectStochastic fractal searchen_US
dc.titleEntropy-Based Skin Lesion Segmentation Using Stochastic Fractal Search Algorithmen_US
dc.typeConference Objecten_US

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