A Review of Skin Cancer Detection: Traditional and Deep Learning-Based Techniques

One of the most serious types cancer is skin cancer. The rising number cases, high mortality rate, and cost medical treatment necessitate early detection its symptoms. Skin detected differentiated from melanoma using lesion criteria such as symmetry, color, size, shape.
 Given significance these challenges, researchers have developed a variety early-detection approaches for cancer.
 This paper comprehensively reviews classical deep-learning techniques detecting performance evaluated based on various metrics, datasets used training testing are analyzed. Studies clinical examination, dermoscopy, histopathology identified, architecture deep neural networks A comprehensive comparison provided in this review paper.