By Chuansheng Zheng, Xianbo Deng, Qing Fu, Qiang Zhou, Hui Ma, Wenyu Liu, and Xinggang Wang.
Before running the code, please prepare a computer with NVIDIA GPU. Then install anaconda, pytorch and NVIDIA CUDA driver. Then you can step into the two folders to check the README.md file.
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In the directory of "2dunet", the code mainly aims to segment the lung region to obtain all lung masks.
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In the directory of "deCoVnet", the code does the classification task of whether a CT volume being infected.
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The file "20200212-auc95p9.txt" contains the output probabilities of our pretrained deCovNet on our testing set.
The pretrained models are not currently available. If you are interested in the training codes, please contact Xinggang Wang.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
You should have received a copy of the license along with this work. If not, see http:https://creativecommons.org/licenses/by-nc-sa/4.0/.