文章基本信息

标题：Segmentation of Skin Lesions from Digital Images using an Optimized Approach: Genetic Algorithm
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作者：Hina Sood ; Manshi Shukla
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：5
页码：6831-6837
出版社：TechScience Publications
摘要：The incidence rates of skin cancer diseases Melanoma have been on a rapid increase and is leading to higher death rates. Early detection is of utmost important which increases the survival rates if detected at Stage I. Segmentation of skin lesion is one of the biggest task to do along considering under and over segmentation. An algorithm for detection of skin lesion from digital images using Genetic Algorithm is proposed to get merging of over segmentation to get solved with it. It is one of the most popular techniques to get infinite probabilities solved with genetic algorithm which provides very close results in a short time. The lesion segmentation has been compared to the results of other algorithms. The proposed segmentation algorithm has higher segmentation Sensitivity, Specificity and Accuracy compared to all other segmentation algorithms
关键词：Melanoma; Segmentation; Genetic Algorithm;Lesion; Dermoscopy.