A Review on Melanoma Skin Cancer Classification

Malignant melanoma is a kind of skin cancer that begins in melanocytes. It can influence on the skin only, or it may expand to the bones and organs. It is less common, but more serious and aggressive than other types of skin cancer. It is responsible for the majority of deaths related to skin cancer. The algorithm consists of four steps: preprocessing, segmentation, features extraction, and classification to classify melanoma types. Identification of Skin lesion Melanoma at different Stages based on Total Dermoscopic Score (TDS). The identification of the melanoma stages are important for early treatment and to analyze the depth of spreading the melanocytic cells to the other parts of the body. Purpose of the research is to extract more melanoma features for early diagnosis and recognize the types of Skin Cancer is primarily important for effective treatment, which cause improve and increase the survival rate from Skin cancer patients. To minimize the diagnostic error caused by the complexity of visual interpretation and subjectivity, it is important to develop a technology for computerized image analysis. Early melanoma skin cancer diagnostic system using computer-based techniques is more efficient than the conventional biopsy methods. The cost involved as well as the time taken for detection is less in computer-based techniques. This system will be a great help in early detection of malignant melanomas or faster, cheaper, more intuitive and efficient treatment.