Enhanced CNN Based Electron Microscopy Image Segmentation

Leena Silvoster, M.; Govindan, V. K.

doi:10.2478/cait-2012-0014

Abstract

Detecting the neural processes like axons and dendrites needs high quality SEM images. This paper proposes an approach using perceptual grouping via a graph cut and its combinations with Convolutional Neural Network (CNN) to achieve improved segmentation of SEM images. Experimental results demonstrate improved computational efficiency with linear running time.

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Enhanced CNN Based Electron Microscopy Image Segmentation

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