ICON

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

A web-based interactive tool for training deep neural networks for segmentation tasks. It consists of a server backend that runs on a high-performance GPU compute node, and a front end user interface that runs on a web browser. User configures a classifier, the classes of objects to be detected, and the set of images to use for training and validation.

Website: http://rhoana.org/icon
Source code: http://rhoana.org/icon

Compresso

Efficient Compression of Segmentation Data For Connectomics

Compresso is a new compression scheme for label data that outperforms existing approaches by using a sliding window to exploit redundancy across border regions in 2D and 3D.

Source code: https://github.com/VCG/compresso

RhoANA

Dense Automatic Neural Annotation

RhoANA is software for dense automatic annotation of neurons in EM serial sections. It includes a processing pipeline, as well as Mojo, a proofreading and annotation tool.

Website: http://www.rhoana.org
Source code: https://github.com/Rhoana