An Error Detection and Correction Framework for Connectomics

NeurIPS 2017 Jonathan ZungIgnacio TartavullKisuk LeeH. Sebastian Seung

We define and study error detection and correction tasks that are useful for 3D reconstruction of neurons from electron microscopic imagery, and for image segmentation more generally. Both tasks take as input the raw image and a binary mask representing a candidate object... (read more)

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