Melanoma Detection using Deep Learning Algorithms

Abstract: Melanoma is a type of skin cancer that arises from pigment-producing cells called melanocytes. These cells are responsible for the production of melanin, the pigment that gives skin, hair and eyes their color. Melanoma is considered more dangerous than other types of cancer because it can spread (metastasize) to other parts of the body. Key features of melanoma include the formation of abnormal or cancerous cells in the skin pigment. The main cause of melanoma is exposure to ultraviolet (UV) radiation from the sun or tanning beds. Most malignant tumours can be treated if diagnosed early. Therefore, early diagnosis of skin cancer is important to save the lives of patients. With today's technology, skin cancer can be diagnosed early and treated effectively. The traditional method of detecting melanoma relies on eye exams where dermatologists review biopsy results, which is time-consuming. These facilities are less available in rural areas where doctors are often available but dermatologists are not. This study was designed to develop a system that uses deep learning techniques to identify melanoma.