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.