  In this report, we are presenting our automated prediction system for disease
classification within dermoscopic images. The proposed solution is based on
deep learning, where we employed transfer learning strategy on VGG16 and
GoogLeNet architectures. The key feature of our solution is preprocessing based
primarily on image augmentation and colour normalization. The solution was
evaluated on Task 3: Lesion Diagnosis of the ISIC 2018: Skin Lesion Analysis
Towards Melanoma Detection.
