Clara Train SDK Documentation

Clara Train SDK is a domain optimized developer application framework that includes APIs for AI-Assisted Annotation. This enables any medical viewer to be AI capable and enables a TensorFlow based training framework with pre-trained models to start AI development with techniques such as Transfer Learning, Federated Learning, and AutoML.

What’s new

The Clara Train 3.1 release is based on NVIDIA’s container for TensorFlow release 20.08 with support for NVIDIA Ampere GPUs. Here is a list of changes and additions in this version as well as links to key features:

For AIAA:

  • AIAA updates to Triton API

  • DeepGrow is introduced in AIAA to help with cold-start in any organs/objects of interest.

  • Users can customize their inference workflow in AIAA following the instructions in Bring your own models.