MONAILabel

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

Archived This repository is archived: read-only and no longer maintained.

Fork A fork of Project-MONAI/MONAILabel; the README may describe the upstream project.

Overview

MONAI Label is a server-client system that facilitates interactive medical image annotation by using AI. It is an open-source and easy-to-install ecosystem that can run locally on a machine with single or multiple GPUs. Both server and client work on the same/different machine. It shares the same principles with MONAI. Refer to full MONAI Label documentations for more details.

MONAI Label with visualization tools 3D Slicer, OHIF, DSA, QuPath, CVAT etc..

The codebase is currently under active development.

Radiology App This app has example models to do both interactive and automated segmentation over radiology (3D) images. Including auto segmentation with the latest deep learning models (e.g., UNet, UNETR) for multiple abdominal organs. Interactive tools include DeepEdit and Deepgrow for actively improving trained models and deployment.

Start using MONAI Label with just three steps:

From the project’s README on GitHub.

At a glance

RepositoryKentucky-Open-Science/MONAILabel
Research areaForks of other projects
Primary languageNone detected
LanguagesPython 85.3%, JavaScript 8.8%, Java 3%, Shell 1.4%, Stylus 0.8%, CMake 0.5%
LicenseApache-2.0
Stars / forks1 / 0
Open issues and pull requests1
Created2022-10-10
Last push2025-09-22
Default branchmain
Forked fromProject-MONAI/MONAILabel — MONAI Label is an intelligent open source image labeling and learning tool.

What the README covers

Top contributors

Get the code

git clone https://github.com/Kentucky-Open-Science/MONAILabel.git