Image Analtysis

Skin Lesion Classification

In the last twenty years the interest of automated skin lesion classification dynamically increased partially because of public datasets appearing. Automated computer-aided skin cancer detection in dermatoscopic images is a very challenging task due to uneven datasets sizes, the huge intra-class variation with small interclass variation, and numerous artifacts. During my work on the project I approached the problem in two ways: with hand-crafted features based on extended ABCD rule and a shallow neural network, with Convolutional Neural Networks.