Project MONAI releases MONAI Core v0.9, MONAI Label v0.4, MONAI Deploy App SDK v0.4, and MONAI Deploy Informatics Gateway v0.2. MONAI focuses on two main topics for these releases, MONAI for Pathology and MONAI Bundles. First, MONAI is helping create a starting point for Pathologists, Data Scientists, and Researchers who…

Project MONAI is continuing to expand into the field of Pathology. With the release of MONAI Label v0.4, we have new features, sample applications, and viewer integrations that will help you get started with annotating Pathology images. Viewer Integration MONAI Label now integrates with three pathology viewers…

MONAI has released three new versions of its existing tools and is introducing a new tool to its deployment offering, introducing MONAI Deploy Inference Server. Researchers can quickly deploy and run MONAI Application Packages (MAPs) as scalable inference on their data using an existing Kubernetes cluster as cloud-native microservices. MONAI Core v0.8 The…

MONAI v0.6 and MONAI Label v0.1 are now available! MONAI Label is an intelligent image labeling and learning tool that enables users to create annotated datasets and build AI annotation models quickly. We’re excited to announce our latest release of MONAI, version 0.6. We continue to expand on our APIs…

MONAI has been working closely with DeepReg on learning-based medical image registration using PyTorch. In the latest release, MONAI v0.5.0, we are delighted to provide a set of essential tools for developing registration pipelines. Medical Image Registration Image registration, a process that spatially aligns one image with another, is important to many medical…

In the latest v0.5 release of MONAI, the team expands its transforms and workflows and now includes end-to-end applications based on new research areas. Let’s take a complete look at this latest release. Transforms The newest transforms for MONAI include SaveImage, EnsureChannelFirst, and a tech preview feature that allows you to…

In collaboration with the MICCAI Educational Initiative, MONAI hosted its first Bootcamp from September 30 to October 2, 2020. This three-day virtual event included presentations, hands-on labs, direct contact with the MONAI core group, and an open challenge on the last day. It was great to see so many people…

MONAI is an open-source foundation for deep learning in healthcare imaging that is a freely available, community-backed, and PyTorch-based framework. MONAI provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm. In collaboration with MICCAI Educational Initiative, MONAI hosted its first Bootcamp on September 30th…

Authors:By Wenqi Li, Guotai Wang and Wentao Zhu The Medical Open Network for AI (MONAI), is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It provides domain-optimized, foundational capabilities for developing a training workflow. Building upon the GTC 2020 alpha release announcement back in April, MONAI…