Abstract: Melanoma skin cancer, which is fatal, is a result of formation of a malignant tumor originating in melanocytes. Leukoderma is a non-cancerous disease and carcinoma is cancerous disease out of which melanoma is the most dangerous one which occurs due to pigment making cells, melanocytes. While there are many types of skin cancer, melanoma is particularly dangerous and accounts for approximately 75 percent of skin cancer deaths. Looking at the survival rate of patients with data derived from the analysis of the patients in the preceding five years, the results reveal that only 15% of the patients’ survival has received chronic treatment. It is actually in a manual system. With regards to the mole, it has roughly about six of the maximum colours so the issue is the image, it has several shades and the human eyes cannot easily recognize it. For early diagnosis of melanoma cancer and to prescribe treatment at an early stage, required machine intelligence algorithms can be utilized. It assists in decreasing the work load on specialists, improving the rate of diagnosis, enhancing the time and reducing the clinical expenses. The purpose of this paper is to identify and eliminate skin cancer before it is too late and so reduce the mortality rate
Keywords: Melonoma, Tumors, Dermoscopy, Machine Learning, CNN
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DOI:
10.17148/IJARCCE.2024.13658
