Skin cancer is a growing public health concern, and early detection is crucial for successful treatment. In recent years, advances in deep learning algorithms have led to the development of skin lesion classification systems, which have the potential to improve the accuracy and speed of skin cancer diagnosis. Skin lesion classification is the task of accurately identifying and categorizing different types of skin abnormalities, including moles, freckles, and skin cancers.
