I built a CNN neural network that classifies a given Chest X-ray as positive for pneumonia caused by COVID-19 or not. This model is originally meant to demonstrate a proof-of-concept. The model was trained, and accepts, Posteroanterior views only.
Updated Model (Use with Pytorch; .pth) : https://drive.google.com/open?id=1hXFVQuX7LRpbW5P6OU9YFXkxYJEQIPxw
Primary Dataset used: https://github.com/ieee8023/covid-chestxray-dataset
Secondary Dataset: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia
Test_results: check the csv file in the repository
Colab_notebook: check repository (Notice: NOT A DIAGNOSTIC TOOL)
Rationale/More information: https://towardsdatascience.com/using-deep-learning-to-detect-ncov-19-from-x-ray-images-1a89701d1acd
