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MONAI

Monai 正在构建一套完整的多模式生成人工智能工具套件，以与 Monad 区块链集成。 MONAI 代币将成为人工智能生态系统的支柱，激励节点将其计算能力分配给网络。

What is MONAI?

MONAI (Medical Open Network for AI) is an open-source, PyTorch-based framework designed to facilitate deep learning in healthcare imaging. It aims to develop a community of academic, industrial, and clinical researchers collaborating on a common foundation, creating state-of-the-art, end-to-end training workflows for healthcare imaging, and providing researchers with an optimized and standardized way to create and evaluate deep learning models.

How Does MONAI Work?

MONAI provides a suite of libraries, tools, and SDKs that cover the entire medical AI lifecycle, from data annotation to clinical deployment. It offers flexible pre-processing for multi-dimensional medical imaging data, compositional and portable APIs for ease of integration, domain-specific implementations for networks, losses, evaluation metrics, and more. Additionally, it supports multi-GPU multi-node data parallelism, enabling efficient training and deployment of AI models in healthcare settings.

What Makes MONAI Unique?

MONAI stands out due to its domain-specific focus on medical imaging, offering features like intelligent image annotation powered by AI assistance (MONAI Label), a comprehensive framework for training state-of-the-art medical imaging AI models (MONAI Core), and robust tools for deploying AI models in clinical settings (MONAI Deploy). Its open-source nature and community-driven development ensure continuous improvement and adaptation to the evolving needs of the healthcare AI community.

Who Are the Founders of MONAI?

MONAI was initially co-founded by NVIDIA and King's College London, aiming to establish an inclusive community of AI researchers to develop and exchange best practices for AI in healthcare imaging. This collaboration has expanded to include academic and industry leaders throughout the medical imaging field.

Latest News

What Key Events Have There Been for MONAI?

Since its inception, MONAI has achieved several significant milestones, including the release of multiple open-source PyTorch-based frameworks for annotating, building, training, deploying, and optimizing AI workflows in healthcare. The project has also expanded its collaborations to include a broader range of academic and industry leaders in the medical imaging field.

Project Announcements

Recent updates include enhancements to MONAI Label for AI-assisted interactive labeling of 3D medical images, and the introduction of MONAI Deploy App SDK to facilitate the deployment of AI models in clinical environments.

Upcoming Events

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Projects Announcements

Where to Buy MONAI?

As of the current information, there is no publicly available data indicating that MONAI has an associated tradable token. Therefore, purchasing options are not applicable.

MONAI Price

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MONAI Price Prediction

Given the lack of a tradable token associated with MONAI, price predictions are not applicable.

FAQ

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How Can I Participate in MONAI's Ecosystem?

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Community Sentiment

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Disclaimer and Risk Warning: Some content on this page may be assisted or generated by AI and is for general reference only. For the most accurate and updated information, please refer to the official website of the project. Bitget Wallet values every partnership. If you notice any issues or inaccuracies, feel free to reach out to us at [email protected] — we appreciate your feedback and will make improvements where needed.