The goal of this repository is to provide code, templates and best practices for deploying XNAT on Azure.

The repository is organized in src and docs directory. The src directory contains code for building the docker container and ARM templates. The docs directory contains the following:

1. Loading Images
2. Setting up a project
3. Programmatic access to data
4. Training ML Model on Azure ML

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

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