Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images

31 Jan 2019 Kyle Luther H. Sebastian Seung

In the deep metric learning approach to image segmentation, a convolutional net densely generates feature vectors at the pixels of an image. Pairs of feature vectors are trained to be similar or different, depending on whether the corresponding pixels belong to same or different ground truth segments... (read more)

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