Abstract
Skin illnesses are common in general practise and are a common occurrence. Access to medical care and high diagnostic accuracy are critical challenges, especially when separating benign illnesses from malignancies like melanomas, which require immediate diagnosis and treatment. Dermatologists use visual inspection to diagnose skin lesions based on dermoscopic or clinical imaging. To support the diagnostic process, which may be hampered by increasing workloads and a shortage of skilled workers in certain parts of the world, computer-aided detection and computer-aided diagnosis methods have been developed for image analysis. of skin lesions. Advanced machine learning, and in particular deep learning techniques, have achieved dermatological categorization of skin lesions using dermoscopic and non-dermoscopic images, which is generating great hope in this area. The objective of this study is to present a complete roadmap and the latest lines of research in the analysis of images of skin lesions.
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