Various Skin Cancer Classification & Detection using Deep learning

Doctors have previously detected skin cancers and infections with their unaided eyes. But, since humans make errors, this often ends in inaccurate detection. Even specialists find it challenging to identify, particularly in the very early stages of the disease. This is where the pipeline can be automated with computer vision. We can use thousands of photos of any skin illness to train a deep neural network. In this paper, we designed an ensemble model by considering all possible combinations and later applied various classifiers like random forest, decision tree, and KNN.