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DeepVess Data & Github

DeepVess is a 3D CNN segmentation method with essential pre- and post-processing steps, to fully automate the vascular segmentation of 3D in-vivo MPM images of murine brain vasculature using TensorFlow.

Github: https://github.com/cornellneuronex/DeepVess-1

 

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Support for the Cornell NeuroNex Technology Hub is provided through the NSF Grant DBI-1707312

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