Deep Learning based Skin Pigmentation Classification for Malignant Skin Lesions

Skin cancer is a highly contagious disease that spreads quickly throughout the body of a person. Skin cancer is caused by the development of abnormal cells which is capable of invading and spreading to the other areas of the body. Therefore, to prevent the spread of cancer, early identification at a premature stage is essential. It is difficult to identify and categories the type of cancer, especially because patients have to multiple diagnoses over extended periods of time, which reduces the chances of early treatment and survival. The main goal is to distinguish malignant skin lesions from benign ones using a machine learning model. Machine learning has great potential in classifying the medical images for detecting the disease. The primary characteristics that distinguish malignant from benign tumors are colour, texture, and shape. Therefore, this research study plan to create a user-friendly application to categorize the images of skin lesions and detect cancer.