Skin Cancer Detection Using DenseNet-121 Model

Abstract

The field of computer vision is currently undergoing significant research into skin cancer classification and detection. Many researchers used various deep convolutional neural networks to enhance the performance of the current systems. Numerous efforts were made in the past to identify skin cancer. To increase performance and accuracy, several researchers use various techniques. In this thesis project, I'm attempting to build a model for identifying skin cancer based on a technology (DenseNet-121). For training and testing purposes in the identification of skin cancer, I used a dataset. 92% accuracy is demonstrated by the suggested model