HighRes3DNet is now part of NiftyNet, an open-source library for convolutional networks in medical image analysis. Please visit https://cmiclab.cs.ucl.ac.uk/CMIC/NiftyNet.

This repository was created for the source code of the high-resolution 3D network described in paper: Li, W., Wang, G., Fidon, L., Ourselin, S., Cardoso, M. J., & Vercauteren, T. (2017, June). On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. In International Conference on Information Processing in Medical Imaging (pp. 348-360).