Rise In Skin Cancer Cases Underscores Importance Of Early Detection Using Machine Learning

This article reviews the use of image-processing techniques in machine learning (ML) for skin cancer detection using clinical images. It evaluates the efficacy, available datasets, and challenges of these methods. Early detection of melanoma is crucial for effective treatment, and current diagnostic methods may not be consistently accessible or reliable. ML techniques have shown promise in assisting early skin cancer diagnosis, and further research is needed to bridge the detection gap.