Guided Proofreading of Automatic Segmentations for Connectomics

no code implementations • CVPR 2018 • Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister

Automatic cell image segmentation methods in connectomics produce merge and split errors, which require correction through proofreading.

Image Segmentation Segmentation +1

RhoanaNet Pipeline: Dense Automatic Neural Annotation

no code implementations • 21 Nov 2016 • Seymour Knowles-Barley, Verena Kaynig, Thouis Ray Jones, Alyssa Wilson, Joshua Morgan, Dongil Lee, Daniel Berger, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister

The best segmentation results obtained gave $V^\text{Info}_\text{F-score}$ scores of 0. 9054 and 09182 for the cortex datasets, 0. 9438 for LGN, and 0. 9150 for Cerebellum.

Segmentation

Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures

no code implementations • 27 Oct 2016 • Felix Gonda, Verena Kaynig, Ray Thouis, Daniel Haehn, Jeff Lichtman, Toufiq Parag, Hanspeter Pfister

We present an interactive approach to train a deep neural network pixel classifier for the segmentation of neuronal structures.

Image Segmentation Segmentation +1

Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images

no code implementations • 28 Mar 2013 • Verena Kaynig, Amelio Vazquez-Reina, Seymour Knowles-Barley, Mike Roberts, Thouis R. Jones, Narayanan Kasthuri, Eric Miller, Jeff Lichtman, Hanspeter Pfister

Segmentation of large-scale electron microscopy data is the main bottleneck in the analysis of these data sets.

Brain Segmentation Segmentation