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
84
Verified
MONAILabel
70
Verified
Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 24/25
Maintenance 10/25
Adoption 10/25
Maturity 25/25
Community 25/25
Stars: 7,927
Forks: 1,444
Downloads:
Commits (30d): 24
Language: Python
License: Apache-2.0
Stars: 819
Forks: 260
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
No risk flags

About MONAI

Project-MONAI/MONAI

AI Toolkit for Healthcare Imaging

This framework helps medical researchers and data scientists build and train deep learning models for healthcare imaging analysis. You can input various medical image datasets and develop models to output insights like disease detection or segmentation. It's designed for those working with medical image data who want to leverage AI for research or clinical applications.

medical-imaging radiology healthcare-AI clinical-research biomedical-engineering

About MONAILabel

Project-MONAI/MONAILabel

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

MONAI Label is an intelligent tool that streamlines the process of adding annotations to medical images and using those annotations to build AI models. It takes raw medical images (like CT, MRI scans, or pathology slides) and, with your guidance, helps produce accurate annotated datasets and AI models that can automate future annotation tasks. This is ideal for clinicians, medical researchers, and annotators who need to efficiently label medical images and develop AI-assisted workflows.

medical-imaging radiology-annotation pathology-analysis clinical-research biomedical-annotation

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