This is a modified version of Caffe which supports the 3D Faster R-CNN framework and 3D Region Proposal Network as described in our paper [Efficient Multiple Organ Localization in CT Image using 3D Region Proposal Network](Early access on IEEE Transactions on Medical Imaging).

This code has been compiled and passed on Windows 7 (64 bits) using Visual Studio 2013.

Requirements: Visual Studio 2013, ITK-4.10, CUDA 8.0 and cuDNN v5

Please make sure CUDA and cuDNN have been installed correctly on your computer.

Clone the project by running:

git clone https://github.com/superxuang/caffe_3d_faster_rcnn.git

In .\windows\Caffe.bat set ITK_PATH to ITK intall path (the path containing ITK include,lib folders).

Run .\windows\Caffe.bat and build the project caffe in Visual Studio 2013.

Please cite our paper and Caffe if it is useful for your research:

Caffe is released under the BSD 2-Clause license. The BVLC reference models are released for unrestricted use.

Please cite Caffe in your publications if it helps your research:

@article{jia2014caffe,
  Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
  Journal = {arXiv preprint arXiv:1408.5093},
  Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
  Year = {2014}
}