Image Processing based Skin Cancer Recognition using Machine Learning

The skin is the most important part of the human body because it protects bones and muscles., hence, it is the body's largest organ. Numerous people are suffering from skin cancer these days. It has now become the most common type of cancer. Melanoma is known to be a serious and mortal disease. If detected in initial stages, it can be easily treated. Non-melanoma skin cancers have also become common. Rrecognizing skin cancer automatically from the images can help in faster diagnosis and enhanced accuracy saving valuable time. In this paper, 4 types of CNN were used named VGG16, InceptionV3, ResNet152V2 and a special CNN with 12 layers.