Labeling

Interactive medical image labeling for semantic segmentation workflows

Use the Medical Image Labeler app to interactively label ground truth data in 2-D and 3-D medical images. You can define pixel label definitions to label image pixels for segmentation using manual and semi-automated labeling tools. To automate the labeling process, you can use a built-in automation algorithm or specify a custom algorithm. To get started, see Get Started with Medical Image Labeler.

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)
`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 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.