K. J. Somaiya

Skin Cancer is a dangerous disease which occurs in almost all age groups especially at an older age. It is due to the abnormal growth or rapid growth in the epidermal layer of the skin, which leads to the growth of tumor. Cancer need to be differentiated from other skin diseases as it occurs on in tissue levels where as other diseases affects to only upper layer of epidemics. As the treatment and detection is at high cost, technology can help predict the cancer at early stage, thereby reducing the detection of cancer’s cost athletes and also can help save time. A fully accurate machine to detect cancer stages is difficult to prepare but at least a probability can be given and thus the medical test can further be performed if the accuracy of the machine is not up to mark. So we have proposed a CNN(Convolutional Neural Network) which can predict and classify skin cancer with a better accuracy as compared to normal Support Vector Machine.