  This manuscript addresses the problem of the automatic lesion boundary
detection in dermoscopy, using deep neural networks. An approach is based on
the adaptation of the U-net convolutional neural network with skip connections
for lesion boundary segmentation task. I hope this paper could serve, to some
extent, as an experiment of using deep convolutional networks in biomedical
segmentation task and as a guideline of the boundary detection benchmark,
inspiring further attempts and researches.
