Detection of Melanoma and Non-Melanoma type of Skin Cancer using CNN and RESNET

In this paper, an application is developed to detect melanoma and non-melanoma type skin cancer using deep learning algorithm such as Convolutional Neural Networks (CNN). In addition, the paper discusses different models for detection of various types of skin diseases and skin cancer detection as well[3]–[6], [10], [11], [13]. And it also proposes to improve the accuracy of detection upto 95% using the basic CNN model along with various preprocessing algorithms on image and CSV data unlike models mentioned in the literature[3], [15]. Also implemented the detection of melanoma and non-melanoma type of skin cancer using ResNet-50.