MONAI: Revolutionizing Medical Imaging Research and Collaboration

MONAI is an open-source, collaborative framework designed to accelerate research and clinical collaboration in the field of medical imaging. Built on top of PyTorch and released under the Apache 2.0 license, MONAI offers a robust software framework that benefits various aspects of medical imaging, deep learning research, and deployment.

The framework provides several key features and capabilities. Users can start by learning how to install and run the MONAI Label Server and utilize 3D Slicer and the DeepEdit algorithm to annotate images and create an AI Annotation Model. MONAI Core also features two state-of-the-art transformer-based architectures specific to Medical Imaging, allowing users to gain hands-on experience through tutorials.

Furthermore, MONAI Deploy App SDK enables users to build their first AI application. The framework includes steps for creating operators for specific functions and using Docker to create a portable AI container.

MONAI keeps the community informed through various channels. Users can stay updated on the latest news, blogs, and articles. The project also hosts upcoming and recent events such as the MONAI MIDL Meetup 2023, MONAI Bootcamp 2023, and the MONAI Label Workshop at Project Week 38.

The MONAI community is active on social media platforms like Twitter, Medium, and YouTube, where users can find the latest blog posts, updates, and overview videos. For direct community interaction, users can join the Slack channel by filling out a Google Form.

In summary, MONAI is a comprehensive and powerful framework that is driving innovation in medical imaging research and clinical collaboration.