224 citations · 273 across the 3 of their papers we have counts for
3 papers
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Kisuk Lee, Jonathan Zung, Peter Li +2
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 i…
Flood-Filling Networks
Michał Januszewski, Jeremy Maitin-Shepard, Peter Li +3
State-of-the-art image segmentation algorithms generally consist of at least two successive and distinct computations: a boundary detection process that uses local image informatio…
Combinatorial Energy Learning for Image Segmentation
Jeremy Maitin-Shepard, Viren Jain, Michal Januszewski +2
We introduce a new machine learning approach for image segmentation that uses a neural network to model the conditional energy of a segmentation given an image. Our approach, combi…