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The XNAT ML-Beta explicitly supports NVIDIA Clara models for medical imaging AI tasks, and these steps will refer to using Clara models. These steps will work on other models that use the same format. Future releases of XNAT ML will address other model formats.
The Clara Train software can start with a pre-trained model and supports transfer learning. The software expects to find these three files for training:
The NVIDIA NGC site (described below) provides other files that are related but not necessary. You can download the required files from NVIDIA or obtain them from a collaborator. Later steps will describe how to configure XNAT to use these files.
The NVIDIA NGC model repository requires a registered user account to download models
The NVIDIA NGC Site contains a number of pre-trained models that are appropriate for the image segmentation task. Once you are on that web site, you can narrow your search to the medical field and search for models. When you have found a pre-trained model that is appropriate for your task, you will see an overview page that looks like the one in the figure below.
In themenu in the top right corner, select "Download" to download all model resources.
This step assumes that you have downloaded a set of model files. In the downloaded NVIDIA model package, you'll find the following directories:
To prepare your model files for upload to XNAT, go to the models directory, select the three files listed above and save them to a new compressed archive named "model.zip". Then execute the following steps in XNAT: