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.
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
Docker Compose Installation Instructions
Container Service Configuration
PACS Configuration & Data Population
Data Import and Collection
Pushing Data from a PACS to your XNAT using the SCP Receiver
Deleting Models, Training, and Datasets