About Dataset

Context

COVID-19 (coronavirus disease 2019) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a strain of coronavirus. The first cases were seen in Wuhan, China, in late December 2019 before spreading globally. The current outbreak was officially recognized as a pandemic by the World Health Organization (WHO) on 11 March 2020.

Currently, Reverse Transcription Polymerase Chain Reaction (RT-PCR) is used for diagnosis of COVID-19. However, X-ray machines are widely available and provide images for diagnosis quickly. Therefore, chest X-ray images can be very useful in early diagnosis of COVID-19.

Content

• Dataset is organized into 2 folders: train, test
• Both train and test contain 3 subfolders:
• COVID19
• PNEUMONIA
• NORMAL
• Dataset contains a total of 6432 X-ray images
• The test data includes 20% of the total images

Acknowledgements

Images are collected from various publicly available resources.
If you use the data for research, please give credit to the original authors.

Sources:
- https://github.com/ieee8023/covid-chestxray-dataset
- Chest X-ray Pneumonia (Kaggle)
- https://github.com/agchung

Inspiration

Application of Artificial Intelligence (AI) techniques with radiological images for COVID-19 diagnosis.