PyTorch Connectomics

A semantic and instance segmentation toolbox for EM connectomics.

The field of connectomics aims to reconstruct the wiring diagram of the brain by mapping the neural connections at the level of individual synapses. Recent advances in electronic microscopy (EM) have enabled the collection of a large number of image stacks at nanometer resolution, but the annotation requires expertise and is super time-consuming. Here we provide a deep learning framework powered by PyTorch for automatic and semi-automatic image segmentation in connectomics.

Website: https://connectomics.readthedocs.io/en/latest/
Source code: https://github.com/zudi-lin/pytorch_connectomics