摘要：The study presents a review on different methodologies to diagnose the melanoma, a deadly skin cancer. Melanoma is a type of skin cancer which arises on the outer layer of skin. Major cause of this type of skin cancer is over exposure of skin to UV radiation and also severe sun burns. It is the cancer which grows rapidly and has higher chances of death. There are many clinical diagnosis techniques are available, but the exact and accurate results of melanoma is acquired by analyzing the skin lesion image with the emerging image processing and soft computing techniques. ABCD analysis is the process used to differentiate the melanoma skin lesions with the other type of skin diseases. The same is used in the processing of the skin lesion image using image processing techniques and the results are optimized using soft computing techniques. This study narrates the procedure and methodologies of image processing and soft computing techniques used to diagnose the melanoma with better accuracy.
