New auxiliary function with properties in nonsmooth global optimization for melanoma skin cancer segmentation
Yükleniyor...
Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Hindawi Ltd
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper, an algorithm is introduced to solve the global optimization problem for melanoma skin cancer segmentation. The algorithm is based on the smoothing of an auxiliary function that is constructed using a known local minimizer and smoothed by utilising Bezier curves. This function achieves all filled function properties. The proposed optimization method is applied to find the threshold values in melanoma skin cancer images. The proposed algorithm is implemented on PH2, ISBI2016 challenge, and ISBI 2017 challenge datasets for melanoma segmentation. The results show that the proposed algorithm exhibits high accuracy, sensitivity, and specificity compared with other methods.
Açıklama
abdulhamid, idris/0000-0002-6272-8318; Sahiner, Ahmet/0000-0002-4945-2476; rahebi, cevat/0000-0001-5418-9601
Anahtar Kelimeler
Preliminaries Of Global Optimization, Algorithm, Data Availability, Melanoma Skin Cancer
Kaynak
Biomed Research International
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
2020
