Entropy-Based Skin Lesion Segmentation Using Stochastic Fractal Search Algorithm
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer International Publishing Ag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Skin 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.
Açıklama
International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME) -- APR 20-22, 2019 -- Antalya, TURKEY
Anahtar Kelimeler
Lesion segmentation, Entropy, Stochastic fractal search
Kaynak
Artificial Intelligence And Applied Mathematics In Engineering Problems
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
43
