This is the code for the paper: Octree Representation Improves Data Fidelity of Cardiac CT Images and Convolutional Neural Network Semantic Segmentation of Left Atrial and Ventricular Chambers
First Author: Kunal Gupta, Senior Author: Francisco Contijoch

It is a fork of the code developed in the following work. It introduces a user-defined intensity threshold to control the compression of the array.

OctNet: Learning Deep 3D Representations at High Resolutions
Gernot Riegler, Ali Osman Ulusoy and Andreas Geiger
CVPR 2017

If you find this code useful for your research, please cite

@inproceedings{Riegler2017OctNet,
  title={OctNet: Learning Deep 3D Representations at High Resolutions},
  author={Riegler, Gernot and Ulusoy, Ali Osman and Geiger, Andreas},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year={2017}
}