CovidXrayNet model improves the detection rate of coronavirus 2019 (COVID-19), form Chest X-Ray (CXR), by means of optimizing the data augmentation pipeline and Convolutional Neural Network (CNN) hyperparameters. [More Information]
- Python: 3.7.6
- Pytorch: 1.6.0
- fastai: 2.0.16
- GPU: 1 x NVIDIA Tesla V100 GPU
- Machine: n1- highmem-8 (8 vCPUs, 52 GB memory)
- Platform: Linux-4.9.0-12-amd64-x86_64-with-debian-9.12
Monshi, M.M.A., Poon, J., Chung, V. and Monshi, F.M., 2021. CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXR. Computers in Biology and Medicine, 133, p.104375. [Paper]
Maram Monshi at mmon4544@uni.sydney.edu.au or m.monshi@tu.edu.sa