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Found 3 papers, 2 papers with code
Identifying Synapses Using Deep and Wide Multiscale Recursive Networks
In this work, we propose a learning framework for identifying synapses using a deep and wide multi-scale recursive (DAWMR) network, previously considered in image segmentation applications.
Small Sample Learning of Superpixel Classifiers for EM Segmentation- Extended Version
Pixel and superpixel classifiers have become essential tools for EM segmentation algorithms.
A Context-aware Delayed Agglomeration Framework for Electron Microscopy Segmentation
In particular, given an over-segmented image or volume, we propose a novel framework for accurately clustering regions of the same neuron.
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