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Comparison of convolutional neural and fully convolutional networks for segmentation of 3D in vivo multiphoton microscopy images of brain vasculature

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Abstract

We optimized DeepVess, a convolutional neural network, to segment multiphoton microscopy images of brain blood vessels that outperformed the state-of-the-art machine learning methods and a trained human annotator.

© 2019 The Author(s)

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