Skin Lesion Classification

Skin Lesion Classification is a method that utilizes computer vision and machine learning techniques to automatically identify and classify skin lesions. Its goal is to accurately distinguish between different types of skin lesions, including benign, malignant, and various skin diseases, by analyzing skin images. This technology has significant application value in early diagnosis and assisting clinical decision-making, as it can improve diagnostic efficiency and accuracy, and promote the development of personalized treatment plans.