Abstract: Skin cancer is one of the diseases in the modern world which causes death to quite a few number of patients. Medical professionals and researchers are trying to find the root cause of the disease and produce effective medicines for the same. Most of the patients don't know about their skin cancer till it is in final stages.
Recent work has shown that skin cancer recognition from images is possible via supervised techniques such as combined with feature extraction techniques. Other supervised classification techniques, such as k-nearest neighbors also group pixels based on their similarities in each feature image can be used to classify the normal/abnormal images. Therefore image processing become our choice for an early detection of the skin cancer, as it is non-expensive technique.
Keywords: Skin cancer, health problem, diseases, radiation, Melanoma.
Title: Performance Analysis of Skin cancer Classification
Author: Mahima Gupta, Asst. Prof. Mohan Rao Mamdikar
International Journal of Interdisciplinary Research and Innovations
ISSN 2348-1218 (print), ISSN 2348-1226 (online)
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