Abstract
Abstract: Melanoma, a dangerous type of skin cancer, is now the ninth most common cancer. Detecting it early is crucial for easier treatment. Dermoscopy, a common method that magnifies skin lesions for examination, relies on the skill of trained professionals. This limits its use to those with extensive training. To overcome this, our research suggests using a ComputerAided Diagnostic (CAD) system. This system has a user-friendly interface, making it accessible for dermatologists with limited training. Unlike traditional methods, our study shows that CAD not only supports skilled professionals but also provides a reliable second opinion in identifying melanoma. This research aims to improve the accuracy of melanoma diagnosis, making it more accessible and precise for better patient outcomes
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