Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

The software in this package implements the following paper: Hu Chen, Yi Zhang*, Mannudeep K. Kalra, Feng Lin, Yang Chen, Peixi Liao, Jiliu Zhou, and Ge Wang, "Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network" IEEE Trasnactions on Medical Imaging, 36(12), 2524-2535, 2017.

Please cite the paper if you are using this Software in your research.

Please Contact:
Yi Zhang [email protected] If you have any questions about it.

Version:
1.0 (05/09/2017)

1. Prerequisities Install caffe(Matlab)
2. Files
   1. Red_CNN.caffemodel Red_CNN.prototxt: Red CNN model
   2. L506_QD_3_1.CT.0003.0035.2015.12.22.20.45.42.541197.358791561.IMA: Low dose CT Image
   3. Red_CNN.m: Demo(Matlab)
3. Running the test
   1. Set the path of caffe in Matlab
   2. Run Red_CNN.m

The whole set of Mayo data needs the approval by the data provider.http://www.aapm.org/GrandChallenge/LowDoseCT/