Skin Lesion Classification

Early detecion of skin cancer with Convolutional Neural Networks and Dermoscopic Imaging

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.

ISIC Challenge 2019