Pixel Distribution Learning for Vessel Segmentation under Multiple Scales.In this work we try to address if there is a better way to classify two distributions, rather than using histograms; and answer if we can make a deep learning network learn and classify distributions automatically. 
Pixel Distribution Learning for Vessel Segmentation under Multiple Scales
In particular, a spatial distribution descriptor named Random Permutation of Spatial Pixels (RPoSP) is derived from vessel images and used as the input to a convolutional neural network for distribution learning. 
convolutional neural network