Skin cancer is one of the most prevalent and potentially life-threatening diseases, characterized by aberrant skin cell proliferation, mostly caused by DNA damage due to exposure to ultraviolet (UV) radiation from the sun or other sources, like tanning beds. There are several types of skin cancer, such as melanoma, squamous cell carcinoma, and basal cell carcinoma, each with unique traits and implications for treatment and diagnosis. Timely detection of skin cancer is fundamental to maximize the probability of successful treatment. In this regard, computer-assisted diagnosis plays a crucial role and is supported by the automated analysis of images through segmentation. Segmentation effectively recognizes and outlines regions of interest in dermoscopic images, aiding healthcare practitioners in precisely identifying and assessing lesions.