The XNAT ML release is a stand-alone package that combines XNAT 1.8 with several platform and plugin additions to enable a baseline of Machine Learning capability. These capabilities were first demonstrated in collaboration with the NVIDIA Clara suite of medical imaging AI tools, at RSNA 2019. Since then, we have been expanding functionality, deepening integrations, and hardening features to get to the point of this release.

Release Notes

Version 1.0 of the XNAT ML Plugin suite was released alongside the release of XNAT 1.8. What has changed? See XNAT ML 1.0 Release Notes

Upgrading from XNAT ML-Beta? See here for data conversion notes: Migrating XNAT ML data from Beta to Production



Performing Training

Workflows

Setup Tasks

Data Import and Collection

Model Training

Other Operations

  • Deleting Models, Training, and Datasets

XNAT is an open source project produced by NRG at the Washington University School of Medicine | NRG Home

Contributions to the XNAT Documentation site are licensed under a Creative Commons Attribution 3.0 Unported License. Creative Commons License

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