Context

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 created a database of chest X-ray images for COVID-19 positive cases along with Normal and Viral Pneumonia images. This COVID-19, normal and other lung infection dataset is released in stages. In the first release we have released 219 COVID-19, 1341 normal and 1345 viral pneumonia chest X-ray (CXR) images. In the first update, we have increased the COVID-19 class to 1200 CXR images. In the 2nd update, we have increased the database to 3616 COVID-19 positive cases along with 10,192 Normal, 6012 Lung Opacity (Non-COVID lung infection) and 1345 Viral Pneumonia images. We will continue to update this database as soon as we have new x-ray images for COVID-19 pneumonia patients.

Content

1. COVID-19 data:

COVID data are collected from different publicly accessible dataset, online sources and published papers. -2473 CXR images are collected from padchest dataset. -183 CXR images from a Germany medical school. -559 CXR image from SIRM, Github, Kaggle & Tweeter -400 CXR images from another Github source.

2. Normal images:

10192 Normal data are collected from from three different dataset. -8851 RSNA -1341 Kaggle

3. Lung opacity images:

6012 Lung opacity CXR images are collected from Radiological Society of North America (RSNA) CXR dataset

4. Viral Pneumonia images:

1345 Viral Pneumonia data are collected from the Chest X-Ray Images (pneumonia) database

Acknowledgements

Reference: [1]https://bimcv.cipf.es/bimcv-projects/bimcv-covid19/#1590858128006-9e640421-6711 [2]https://github.com/ml-workgroup/covid-19-image-repository/tree/master/png [3]https://sirm.org/category/senza-categoria/covid-19/ [4]https://eurorad.org [5]https://github.com/ieee8023/covid-chestxray-dataset [6]https://figshare.com/articles/COVID-19_Chest_X-Ray_Image_Repository/12580328 [7]https://github.com/armiro/COVID-CXNet [8]https://www.kaggle.com/c/rsna-pneumonia-detection-challenge/data [9] https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

Inspiration

Researchers can use this database to produce useful and impactful scholarly work on COVID-19, which can help in tackling this pandemic