Skin Cancer Recognition Using Convolution Neural Network

It causes impairment or death since it arises in the skin tissue and destroys surrounding tissues. Skin cancer is one of the commonest growths in the skin cells, while it is caused by abnormal growth cells. If skin disorders are detected early in life, they can be treated-people can be diagnosed to receive an effective treatment. We apply, in this paper, a Convolutional Neural Network algorithm of deep learning networks in identifying skin conditions. We can train the (CNN) Convolution Neural Network algorithm on approximately 10,000 photos to identify skin cancer. The CNN model will classify benign and malignant skin disorders classification.