  In this paper we approach the problem of skin lesion segmentation using a
convolutional neural network based on the U-Net architecture. We present a set
of training strategies that had a significant impact on the performance of this
model. We evaluated this method on the ISIC Challenge 2018 - Skin Lesion
Analysis Towards Melanoma Detection, obtaining threshold Jaccard index of
77.5%.
