Overview
Project Summary: To build a public open dataset of chest X-ray and CT images of patients which are positive or suspected of COVID-19 or other viral and bacterial pneumonias (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo.
Data Annotation
Lung Bounding Boxes (license: CC BY-SA) contributed by Andrew Gough at General Blockchain, Inc.
Pneumonia severity scores for 94 images (license: CC BY-SA) from the paper Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
Generated Lung Segmentations (license: CC BY-SA) from the paper Lung Segmentation from Chest X-rays using Variational Data Imputation
Brixia score for 192 images (license: CC BY-NC-SA) from the paper End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays
Lung and other segmentations for 517 images (license: CC BY) in COCO and raster formats by v7labs
Citation
Please use the following citation when referencing the dataset:
@article{cohen2020covidProspective,
title={COVID-19 Image Data Collection: Prospective Predictions Are the Future},
author={Joseph Paul Cohen and Paul Morrison and Lan Dao and Karsten Roth and Tim Q Duong
and Marzyeh Ghassemi},
journal={arXiv 2006.11988},
url={https://github.com/ieee8023/covid-chestxray-dataset},
year={2020}
}