文章基本信息

标题：Skin Cancer Detection and Feature Extraction through Clustering Technique
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作者：M.Chaithanya Krishna ; S.Ranganayakulu ; P.Venkatesan 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：3
页码：3736
DOI：10.15680/IJIRCCE.2016.0403185
出版社：S&S Publications
摘要：In recent days, skin cancer is seen as one of the most Hazardous form of the Cancers found in Humans. Skin cancer is found in various types such as Melanoma, Basal and Squamous cell Carcinoma among which Melanoma is th e most unpredictable. The detection of Melanoma cancer in early stage can be helpful to cure it. Computer vision can play important role in Medical Image Diagnosis and it has been proved by many existing systems. In this paper, we present a computer aided method for the detection of Melanoma Skin Cancer using Image Processing tools. The input to the system is the skin lesion image and then by applying novel image processing techniques, it analyses it to conclude about the presence of skin cancer. The Lesion Image analysis tools checks for the various Melanoma parameters Like Asymmetry, Border, Colour, Diameter,(ABCD) etc. by texture, size and shape analysis for image segmentation and feature stages. The extracted feature parameters are used to classify the i mage as Normal skin and Melanoma cancer lesion
关键词：Basal and Squamous cell Carcinoma; skin lesion image; novel image; Melanoma cancer lesion