Labeling
Use the Medical Image Labeler to interactively label images using manual, semiautomated, and automated techniques including MONAI Label deep learning models.
Apps
| Medical Image Labeler | Interactively explore, label, and publish animations of 2-D or 3-D medical image data (Since R2022b) | 
Functions
ImageSource | Source of 2-D medical image data for groundTruthMedical
      object (Since R2022b) | 
VolumeSource | Source of 3-D medical image data for groundTruthMedical
      object (Since R2022b) | 
groundTruthMedical | Ground truth label data for medical images (Since R2022b) | 
addLabel |  Add label definition to groundTruthMedical object (Since R2025a) | 
removeLabel | Remove label definition from groundTruthMedical
      object (Since R2025a) | 
changeFilePaths | Change file paths in ground truth data for medical images (Since R2022b) | 
merge | Merge two or more groundTruthMedical objects (Since R2022b) | 
Topics
- Get Started with Medical Image Labeler
Interactively explore, label, and publish animations of 2-D or 3-D medical image data.
 - Get Started with MedSAM in Medical Image Labeler
This example shows how to interactively segment objects in medical images and in cross-sections of medical volumes using the MedSAM algorithm in the Medical Image Labeler app. (Since R2025a)
 - Get Started with MONAI Label in Medical Image Labeler
Apply AI models from the MONAI Label library for 3-D medical image segmentation.
 - Collaborate on Multi-Labeler Medical Image Labeling Projects
Work with a team to label large medical image data sets using the Medical Image Labeler app.
 - Choose an App to Label Ground Truth Data
Decide which app to use to label ground truth data: Image Labeler, Video Labeler, Ground Truth Labeler, Lidar Labeler, Signal Labeler, or Medical Image Labeler.
 




