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We present an updated version of the VESICLE-CNN algorithm presented byRoncal et al. (2014). The original implementation makes use of a patch-basedapproach. This methodology is known to be slow due to repeated computations. Weupdate this implementation to be fully convolutional through the use of dilatedconvolutions, recovering the expanded field of view achieved through the use ofstrided maxpools, but without a degradation of spatial resolution. This updatedimplementation performs as well as the original implementation, but with a$600\times$ speedup at test time. We release source code and data into thepublic domain.

Updating the VESICLE-CNN Synapse Detector