A PROJECT REPORT ON SPOTTING SKIN CANCER USING CNN

Abstract

Melanoma is a skin cancer which is the most serious type of cancer.It can be treatable by a medical professional. It requires a medical diagnosis. The treatment can be depends on the stage of the disease. So to detect the cancer we are introducing CANCER DETECTION USING CNN. Modern medical image processing techniques work on images captured by the microscope and skin ,then analysed them by using different algorithms and methods. Machine learning algorithms are being used for processing the images. Manual detection of cancer cell is a tiresome task and involves human error, and computer aided mechanisms are applied to obtain better results as compared with manual detection systems. We have trained a convolutional neural network and obtained a prediction accuracy of 99.8%.