The CT slices andX-rayimages of the COVID-19 patients are collected as the experimental dataset from GitHub, Kaggle, Kesci websites and Wuhan Tongji Hospital (https://github.com/ieee8023/covid-chestxray-dataset, https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia, https://www.kesci.com/mw/dataset/5e746ec998d4a8002d2b0861).
The training, validation and testing experiments are undertaken on the platform of Intel Core i5-9400F with Windows10 64-bit OS and NVIDIA GeForce GTX 1660 GPU coded by Python3.6 under framework of TensorFlow GPU1.8.0, CUDA 9.0, Keras2.1.4, and the compilation environment IDE is Pycharm 2017.
Requirements
The main requirements are listed below:
Training with Tensorflow 1.8.0 and Keras 2.1.4
Python 3.6
Numpy
Scikit-Learn
Matplotlib
Additional requirements to generate dataset:
Pandas
Jupyter