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

Functions

`ImageSource`	Source of 2-D medical image data for `groundTruthMedical` object
`VolumeSource`	Source of 3-D medical image data for `groundTruthMedical` object
`groundTruthMedical`	Ground truth label data for medical images
`changeFilePaths`	Change file paths in ground truth data for medical images
`merge`	Merge two or more `groundTruthMedical` objects

Topics

Get Started with Medical Image Labeler
Interactively explore, label, and publish animations of 2-D or 3-D medical image data.
Label 3-D Medical Image Using Medical Image Labeler
Interactively label pixels in a 3-D medical image volume.
Label 2-D Ultrasound Series Using Medical Image Labeler
Interactively label pixels in a 2-D medical image sequence.
Automate Labeling in Medical Image Labeler
Apply a pretrained semantic segmentation networks as a custom automation algorithm in the Medical Image Labeler app.
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.

Related Information

Using Active Contour Automation in the Medical Image Labeler