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Updating the VESICLE-CNN Synapse Detector

2017-10-31Code Available0· sign in to hype

Andrew Warrington, Frank Wood

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Abstract

We present an updated version of the VESICLE-CNN algorithm presented by Roncal et al. (2014). The original implementation makes use of a patch-based approach. This methodology is known to be slow due to repeated computations. We update this implementation to be fully convolutional through the use of dilated convolutions, recovering the expanded field of view achieved through the use of strided maxpools, but without a degradation of spatial resolution. This updated implementation performs as well as the original implementation, but with a 600 speedup at test time. We release source code and data into the public domain.

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