img
img
Melanoma Skin Cancer Segmentation with ImageRegion Growing Based on Fuzzy Clustering Mean   
Yazarlar (6)
Ali Mohamed Abdelhafid
Ali Mansur
Nusrat Khalifa
Javad Rahebi
Alper Sayıner
Prof. Dr. Fatma KANDEMİRLİ Prof. Dr. Fatma KANDEMİRLİ
Kastamonu Üniversitesi, Türkiye
Devamını Göster
Özet
Melanoma is the most common dangerous type of skin cancer. On the other hand, if found in an early stage, there is a high likelihood of cure. For that reason, various types of imaging techniques have been investigated. Dermoscopy is one non-invasive imaging technique for diagnosis. The accuracy of diagnosis using dermoscopy is very important and depends on the experience of dermatologists. Visual examination is a waste of time, so there is currently wide attention paid to the development of computer-aided diagnostic systems to aid the clinical evaluation of dermatologists. Image Segmentation is very important in digital-image processing and self-discovery, with an important role to play in solving many difficult problems, particularly those related to chronic diseases, such as skin cancer. Analysis of automatic dermoscopy images usually has three stages: a) feature selection and extraction, b) image segmentation, and c) feature classification.
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü Diğer hakemli uluslarası dergilerde yayınlanan tam makale
Dergi Adı International Journal of Engineering Innovation Research
Dergi Tarandığı Indeksler index copernicus
Makale Dili İngilizce
Basım Tarihi 09-2017
Cilt No 6
Sayı 2
Sayfalar 91 / 95
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 16

Paylaş