Classification of Skin Cancer Using Deep Learning
摘要
Skin cancer is one of the most rapidly spreading illnesses in the world and because of the limited resources available, early detection of skin cancer is crucial accurate diagnosis of skin cancer identification for preventive approach in general. One of these models, Convolutional Neural Networks (CNN), has surpassed all others in object detection and classification tests. The dataset is screened from MNIST: HAM10000 which consists of seven different types of skin lesions with the sample size of 10,015. Transfer learning technique is used to train the model to obtain outstanding results.