MACHINE VISION TO IDENTIFY MALIGNANT MELANOMA BY ASYMMETRY ANALYSIS
Conference: Creative Trends in Engineering and Technology
Melanoma is a cancer that begins in the melanocytes. Ultraviolet (UV) rays exposure is a major risk\nfactor for most melanomas. In the year 2016 about 76,380 new melanomas will be diagnosed all over the world and\nabout 10,130 people are expected to die of melanoma .Early diagnosis will not only save the life of the people but also\nthe quality of their life. Image processing techniques play a vital role in the diagnosis of malignant melanoma. In this\npaper a novel method is proposed for the diagnosis of malignant melanoma using region properties like radial distance,\narea of normal and abnormal mole images. The results obtained show the feasibility of the proposed method for the\ndiagnosis of malignant melanoma.
CTET - 2016