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https://github.com/deepcloudlabs/annotating-chest-xray-images

Annotating Chest XRAY Images and Evaluating the annotation
https://github.com/deepcloudlabs/annotating-chest-xray-images

annotating-images chest-xray-images intersection-over-union knockoutjs leafletjs xray-images

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Annotating Chest XRAY Images and Evaluating the annotation

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# Chest X-Ray Annonation Toolbox
Annotating Chest XRAY Images and Evaluating the annotation

Run the script **post_xray_images.bat** to populate the mongodb.

Open the backend project implemented in Python using Flask and PyMongo and run the backend service:
![](annotation-toolbox-fig01.png?raw=true)

Make sure that the service is up and running:
![](annotation-toolbox-fig02.png?raw=true)

Open the frontend project in WebStorm and open the **index.html** in a web browser such as Chrome:
![](annotation-toolbox-fig03.png?raw=true)

Click the button "**Load Random X-Ray Image**":
![](annotation-toolbox-fig04.png?raw=true)