Before running the code, please prepare a computer with NVIDIA GPU, then install Anaconda, PyTorch and NVIDIA CUDA driver. Once the environment and dependent libraries are installed, please check the README.md
files in 2dunet
and deCoVnet
directories.
-
In the directory of "2dunet", the code mainly aims to segment the lung region to obtain all lung masks.
-
In the directory of "deCoVnet", the code does the classification task of whether a CT volume being infected.
-
The file "20200212-auc95p9.txt" contains the output probabilities of our pretrained deCovNet on our testing set.
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