Abstract: Skin cancer is a serious and dangerous form of cancer. It happens when DNA in skin cells gets damaged, leading to    genetic changes or mutations. If not treated early, skin cancer can spread to other parts of the body. Early detection makes it easier to cure, which is why recognizing symptoms at the initial stages is important .The rise in skin cancer cases, high death rates, and costly treatments make early diagnosis crucial.  Researchers have developed various methods to detect skin cancer early. Features like symmetry, color, size, and shape of skin lesions help differentiate harmless growths from melanoma, the most severe type of skin cancer .This paper reviews deep learning techniques for early skin cancer detection. It analyzes research from top journals and presents findings through tools, graphs, tables, and frameworks to make the information clear and easy to understand.

Keywords: deep learning; deep neural network (DNN); machine learning; melanoma; support vector machine (SVM)

| DOI: 10.17148/IARJSET.2024.111123