Skin Cancer Classification

Our Skin Cancer Classification project aims to develop a machine-learning model with the HAM1000 dataset. This data set contains over 10,000 images of different pigmented skin lesions. We aim to use this model to diagnose pigmented skin lesions automatically. With various deep learning techniques, we strive to classify conditions like melanoma, basal cell carcinoma, and other pigmented lesions, which will lessen the time for diagnosis.