
...

[Generated Lung Segmentations](annotations/lungVAE-masks) (license: CC BY-SA) from the paper [Lung Segmentation from Chest X-rays using Variational Data Imputation](https://arxiv.org/abs/2005.10052)

[Brixia score for 192 images](https://github.com/BrixIA/Brixia-score-COVID-19) (license: CC BY-NC-SA) from the paper [End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays](https://arxiv.org/abs/2006.04603)

[Lung and other segmentations for 517 images](https://easymed.ai/datasets/GeorgeSullivan/XRayCovid19/git/ci/main/tree/annotations/) (license: CC BY) in COCO and raster formats by [v7labs](https://github.com/v7labs)

## Contribute

 - Submit data directly to the project. View our [research protocol](https://docs.google.com/document/d/14b7cou98YhYcJ2jwOKznChtn5y6-mi9bgjeFv2DxOt0/edit). Contact us to start the process.
 - We can extract images from publications. Help identify publications which are not already included using a GitHub issue (DOIs we have are listed in the metadata file). There is a searchable database of COVID-19 papers [here](https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov), and a non-searchable one (requires download) [here](https://pages.semanticscholar.org/coronavirus-research).

	a/README.md		b/README.md
	...		...
70		70
71	[Generated Lung Segmentations](annotations/lungVAE-masks) (license: CC BY-SA) from the paper [Lung Segmentation from Chest X-rays using Variational Data Imputation](https://arxiv.org/abs/2005.10052)	71	[Generated Lung Segmentations](annotations/lungVAE-masks) (license: CC BY-SA) from the paper [Lung Segmentation from Chest X-rays using Variational Data Imputation](https://arxiv.org/abs/2005.10052)
72		72
73	[Brixia score for 192 images](https://github.com/BrixIA/Brixia-score-COVID-19) (license: CC BY-NC-SA) from the paper [End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays](https://arxiv.org/abs/2006.04603)	73	[Brixia score for 192 images](https://github.com/BrixIA/Brixia-score-COVID-19) (license: CC BY-NC-SA) from the paper [End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays](https://arxiv.org/abs/2006.04603)
74		74
75	[Lung and other segmentations for 517 images](https://easymed.ai/datasets/GeorgeSullivan/XRayCovid19/git/ci/main/tree/annotations/) (license: CC BY) in COCO and raster formats by [v7labs](https://easymed.ai/datasets/GeorgeSullivan/XRayCovid19/)	75	[Lung and other segmentations for 517 images](https://easymed.ai/datasets/GeorgeSullivan/XRayCovid19/git/ci/main/tree/annotations/) (license: CC BY) in COCO and raster formats by [v7labs](https://github.com/v7labs)
76		76
77	## Contribute	77	## Contribute
78		78
79	- Submit data directly to the project. View our [research protocol](https://docs.google.com/document/d/14b7cou98YhYcJ2jwOKznChtn5y6-mi9bgjeFv2DxOt0/edit). Contact us to start the process.	79	- Submit data directly to the project. View our [research protocol](https://docs.google.com/document/d/14b7cou98YhYcJ2jwOKznChtn5y6-mi9bgjeFv2DxOt0/edit). Contact us to start the process.
80	- We can extract images from publications. Help identify publications which are not already included using a GitHub issue (DOIs we have are listed in the metadata file). There is a searchable database of COVID-19 papers [here](https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov), and a non-searchable one (requires download) [here](https://pages.semanticscholar.org/coronavirus-research).	80	- We can extract images from publications. Help identify publications which are not already included using a GitHub issue (DOIs we have are listed in the metadata file). There is a searchable database of COVID-19 papers [here](https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov), and a non-searchable one (requires download) [here](https://pages.semanticscholar.org/coronavirus-research).