MONAI and MONAILabel

MONAI is a deep learning framework for medical image analysis, while MONAILabel is an interactive labeling tool that uses MONAI models to intelligently annotate images, making them complements designed to work together in an annotation-to-training pipeline.

MONAI
94
Verified
MONAILabel
78
Verified
Maintenance 20/25
Adoption 25/25
Maturity 25/25
Community 24/25
Maintenance 10/25
Adoption 18/25
Maturity 25/25
Community 25/25
Stars: 7,927
Forks: 1,444
Downloads: 323,705
Commits (30d): 19
Language: Python
License: Apache-2.0
Stars: 819
Forks: 260
Downloads: 2,233
Commits (30d): 0
Language: Python
License: Apache-2.0
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About MONAI

Project-MONAI/MONAI

AI Toolkit for Healthcare Imaging

Built on PyTorch, MONAI provides domain-specific implementations for medical imaging workflows including pre-processing transforms, network architectures, loss functions, and evaluation metrics optimized for multi-dimensional volumetric data. The framework emphasizes composable APIs and multi-GPU/multi-node distributed training, with a complementary Model Zoo using standardized Bundle format for sharing community-contributed architectures and pipelines.

About MONAILabel

Project-MONAI/MONAILabel

MONAI Label is an intelligent open source image labeling and learning tool.

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