A team of researchers from Qatar University, Doha, Qatar and the University of Dhaka, Bangladesh along with their collaborators from Pakistan and Malaysia in collaboration with medical doctors have managed to classify COVID-19, Viral pneumonia and Normal Chest X-ray images with an accuracy of 98.3%.Using codes and trained models are given in this repository.This scholarly work is submitted to IEEE Access and the manuscript is uploaded to the arvix server (https://arxiv.org/abs/2003.13145). Please make sure you give credit to us while using this repository(https://github.com/tawsifur/COVID-19-Chest-X-ray-Detection) and this database (https://www.kaggle.com/tawsifurrahman/covid19-radiography-database)
Credit should go to the following: M.E.H. Chowdhury, T. Rahman, A. Khandakar, R. Mazhar, M.A. Kadir, Z.B. Mahbub, K.R. Islam, M.S. Khan, A. Iqbal, N. Al-Emadi, M.B.I. Reaz, “Can AI help in screening Viral and COVID-19 pneumonia?” arXiv preprint, 29 March 2020, https://arxiv.org/abs/2003.13145. https://www.kaggle.com/tawsifurrahman/covid19-radiography-database