Computer Vision News - October 2022

43 MONAI Core has reached v1.0 MONAI Core v1.0 With the release of v1.0, MONAI Core focuses heavily on a robust and backward-compatible API design and also includes additional features like MetaTensors, a Federated Learning API, the MONAI Bundle Specification, and an Auto3D Segmetentation framework. MetaTensor The MetaTensor enhances the metadata-aware imaging processing pipeline by integrating both torch tensors and imaging meta-information. This combined information is essential for delivering clinically useful models, supporting image registration, and joining multiple models into a cohesive workflow. MONAI MetaTensor Docs Federated Learning TheMONAI Federated Learningmodule provides a base API that defines aMONAI Client App that can run on any federated learning platform. With the new federated learning APIs, you can utilize MONAI bundles and seamlessly extend them to the federated learning paradigm. The first platform to support these new Federated Learning APIs is NVIDIA FLARE , the federated learning platform developed by NVIDIA. We welcome the integration of other federated learning toolkits to the MONAI Federated Learning APIs to help build a common foundation for collaborative learning in medical imaging. MONAI Federated Learning Docs NVIDIA FLARE + MONAI Example MONAI and Federated Learning high-level workflow using the new MONAIAlgo FL APIs BEST OF MICCAI