Project MONAI
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About
Project MONAI is a suite of open-source frameworks for accelerating research and clinical collaboration in medical imaging. It comprises three core components: MONAI Label (an intelligent image labeling tool), MONAI Core (a library for training AI models for healthcare imaging), and MONAI Deploy (aimed at standardizing the deployment of medical AI applications in clinical production). The project emphasizes open-source design, standardization, user-friendliness, reproducibility, and ease of integration. It is built on PyTorch and offers resources like tutorials and a model zoo.
Platform
Task
Features
• model training
• ai-assisted annotation
• model deployment
• image labeling
• clinical production deployment
• automl framework
• medical image transforms
• 3d segmentation
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