Skin Cancer Detection using Deep Learning

Skin cancer becomes one of the various cancers most frequently diagnosed in most people around the globe; early diagnosis has always led to successful treatment. Deep learning techniques have shown to be useful for automated skin cancer detection from dermoscopic images. Here, we present a whole approach involving deep learning and machine learning features that can be used accurately for the efficient detection of skin cancer. We would work on building a highly functional deep learning model. The model would be trained on a large dataset of dermoscopic images that would feature various forms of skin lesions. Deep learning models, based on CNN technology, can capture minor features that present in an image; this therefore makes differentiation between malignant and benign lesions easier.