文章基本信息

标题：SkinCure: An Innovative Smart Phone Based Application to Assist in Melanoma Early Detection and Prevention
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作者：Omar Abuzaghleh ; Miad Faezipour ; Buket D. Barkana 等
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2014
卷号：5
期号：6
页码：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Melanoma spreads through metastasis, and therefore it has been proven to be very fatal. Statisticalevidence has revealed that the majority of deaths resulting from skin cancer are as a result of melanoma.Further investigations have shown that the survival rates in patients depend on the stage of the infection;early detection and intervention of melanoma implicates higher chances of cure. Clinical diagnosis andprognosis of melanoma is challenging since the processes are prone to misdiagnosis and inaccuracies dueto doctors’ subjectivity. This paper proposes an innovative and fully functional smart-phone basedapplication to assist in melanoma early detection and prevention. The application has two majorcomponents; the first component is a real-time alert to help users prevent skin burn caused by sunlight; anovel equation to compute the time for skin to burn is thereby introduced. The second component is anautomated image analysis module which contains image acquisition, hair detection and exclusion, lesionsegmentation, feature extraction, and classification. The proposed system exploits PH2 Dermoscopy imagedatabase from Pedro Hispano Hospital for development and testing purposes. The image databasecontains a total of 200 dermoscopy images of lesions, including normal, atypical, and melanoma cases.The experimental results show that the proposed system is efficient, achieving classification of the normal,atypical and melanoma images with accuracy of 96.3%, 95.7% and 97.5%, respectively.
关键词：Image Segmentation; Skin cancer; Melanoma.