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In this report, we are presenting our automated prediction system for diseaseclassification within dermoscopic images. The proposed solution is based ondeep learning, where we employed transfer learning strategy on VGG16 andGoogLeNet architectures. The key feature of our solution is preprocessing basedprimarily on image augmentation and colour normalization. The solution wasevaluated on Task 3: Lesion Diagnosis of the ISIC 2018: Skin Lesion AnalysisTowards Melanoma Detection.

Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification