CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images

Highlights • A 22-layer CNN architecture, which has achieved an accuracy of 99.1% for 2 class classification, 94.2% for 3 class classification, and 91.2% for 4 class classification. To the best of our knowledge, the accuracy of our proposed CoroDet method is higher than the state-of-the-art method for COVID detection.• A demonstration of the same model for both 2 class, 3 class, and 4 class classification.• Construction of the largest X-ray image database for COVID-19 classification and experiments with the database.• The performance of CoroDet is better than the ten other existing models for COVID- 19 detection.