Superhuman Accuracy on the SNEMI3D Connectomics Challenge

31 May 2017Kisuk LeeJonathan ZungPeter LiViren JainH. Sebastian Seung

For the past decade, convolutional networks have been used for 3D reconstruction of neurons from electron microscopic (EM) brain images. Recent years have seen great improvements in accuracy, as evidenced by submissions to the SNEMI3D benchmark challenge... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.