In this study, a convolutional neural network model is proposed for classifying patients as infected with COVID or not using their chest x-ray images. And a image augmentation techique is used here for improving model's generalization. Our model produced an average classification accuracy of 94.6%.
X-ray images are obtained from https://github.com/education454/datasets
Please be aware of the fact that the dataset and the model in this project, can not be used in the real-life. We are only using this data for educational purposes.
Python
General: numpy
Plotting: matplotlib
Neural Network: tensorflow.keras