Melanoma skin cancer detection using MFFN classification approach

Cancer in skin is identified as the most lethal and frequent kind of cancer in Homo sapiens in recent years. Skin cancer comes in a variety of forms. Among various skin cancer-Melanoma is a prevalent cancer in which discovered early can help out in treatment and, in some cases, save mortality from this fatal skin disease. In this project we will design an approach with Gabor transform and Laws’ energy measure to improve the accuracy of detection. Neural Networks (NN) classifier is designed for the detection of skin cancer images from the non-skin cancer affected images.