Early Skin Cancer Detection Using Computer Aided Diagnosis Techniques

Skin cancers are cancers that due to the development of abnormal cells that have the ability to invade or spread to other parts of the body. There are three main types: basal-cell cancer, squamous-cell cancer and melanoma. Among the three melanoma spreads through metastasis, and therefore it has been proved to be very fatal. Melanomas typically occur in the skin and identification of skin cancer can be done based on the Melanoma images. A system to prevent this type of skin cancer is being awaited and is highly in-demand. Melanomas are asymmetrical and have irregular borders, notched edges, and color variations, so analyzing the shape, color, and texture of the skin lesion is important for melanoma early detection. There are two Computer Aided Diagnosis (CAD) techniques which are used for early skin cancer detection include color constancy approach and skin lesion analysis. The key contribution of this paper is the comparative study done between color constancy and skin lesion analysis for early skin cancer detection on EDRA database and PH2 database.