Segmentation and Risk Identification of Melanoma Skin Lesions Using Boundary Tracing Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 4
Abstract
Skin cancer account for more than 40% of all malignancies all over the world. Melanoma is the most dangerous type of skin cancer. Incidence rates of skin cancer have been increasing but the survival rates are high if it is detect early. In order to reduce the cost for dermatologists to screen every patient an automated melanoma screening system is needed. First the image is preprocessed before segmentation to remove the undesired artifacts. Segmentation is an important process in Computer Aided Diagnosis (CAD) system. For an efficient segmentation process, Boundary Trace Algorithm is done. In this paper the features of the lesions such as shape, color, texture, etc., are calculated and using these values the probability is detected. Finally the cancer is diagnosed and finds whether the skin lesion is Benign or malignant Melanoma.
Authors and Affiliations
Nishadevi. R, Gunavathi. C
Keywords
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- EP ID EP20137
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