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MONAI Label

Radiology / Imaging General Apache 2.0 Locally Deployable
873 GitHub Stars
172 Open Issues
true Docker Support
2026-02-04 Last Updated

Technical Summary

MONAI Label is an intelligent open-source image labeling and learning tool that enables researchers and clinicians to create annotated datasets and build AI annotation models.

Key Capabilities

  • Active Learning: Continuously trains models in the background as clinicians annotate images, progressively improving auto-segmentation accuracy.
  • Client Integrations: Deeply integrated with popular viewers like 3D Slicer and OHIF via extensible APIs, bringing AI directly into the clinical workflow.
  • Pre-trained Models: Includes state-of-the-art pre-trained deep learning models for organs and tumors in radiology and pathology to jumpstart the annotation process.

Model Card Details

Architecture

N/A

Intended Use Cases

Intelligent open source image labeling and learning tool that enables users to create annotated datasets and build AI annotation models quickly.

💻 Quick Developer Integration

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