SKIN CANCER DETETCTION USING IMAGE PROCESSING

Skin cancer is the uncontrolled growth of abnormal skin cells in the body. It occurs when the damage to skin cells—most often caused by ultraviolet radiation from sunshine or tanning beds— causes skin cells to multiply rapidly and form malignant tumours. At the early stage, it can be treated and one can be free from cancer, but there is a risk of no treatment at the late stage. which has led to a high motility rate, and due to its expensive treatment people opt not to test. to develop a deep-learning machine system that can be able to clarify cancer victim skin picture from normal skin by processing the image sample provided as a sample. Using deep learning algorithm implementation where images of victims and the data of victims are uploaded as data of the modal and the system sorts out cancer and normal. The technique used was CNN (Convolutional Neural Network) for the Through this modal system, we can build a deep learning modal to predict skin cancer in human