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XNAT ML Documentation

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.

The XNAT ML Plugin suite was built around the now-deprecated NVIDIA Clara 2.0 style of models and training. Support for newer NVIDIA Clara versions is not guaranteed.

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

Getting Started

Docker Compose Installation Instructions

Project Configuration

Container Service Configuration

PACS Configuration & Data Population

Performing Training


Setup Tasks

Data Import and Collection

Model Training

Other Operations

  • Deleting Models, Training, and Datasets

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