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The performance of existing supervised neuron segmentation methods is highly dependent on the number of accurate annotations, especially when applied to large scale electron microscopy (EM) data.
Markov games as a framework for multi-agent reinforcement learning
Michael L Littman · 1994
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Convolutional networks can learn to generate affinity graphs for image segmentation
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Multicut brings automated neurite segmentation closer to human performance
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Superhuman accuracy on the snemi3d connectomics challenge
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A complete electron microscopy volume of the brain of adult drosophila melanogaster
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Semi-supervised neuron segmentation via reinforced consistency learning
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Biological instance segmentation with a superpixel-guided graph
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Local shape descriptors for neuron segmentation
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Learning multiscale consistency for self-supervised electron microscopy instance segmentation
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