Melanoma Cancer Detection using Deep Learning

this paper addresses the deep learning- based classification model that is used for classifying melanoma cancer. Skin cancer has been a wide concern of medical disease and having an efficient and robust self-learned model for helping detect them in early stages will be very useful. The model in this paper is trained on a very extensive dataset and was validated to have high accuracy for prediction. The model has also used the concept of transfer learning along with other models like VGG16, AlexNet and ResNet.