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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 .

apps

medical image labelerinteractively explore, label, and publish animations of 2-d or 3-d medical image data

functions

source of 2-d medical image data for groundtruthmedical object
source of 3-d medical image data for groundtruthmedical object
ground truth label data for medical images
change file paths in ground truth data for medical images
merge two or more groundtruthmedical objects

topics


  • interactively explore, label, and publish animations of 2-d or 3-d medical image data.


  • interactively label pixels in a 3-d medical image volume.


  • interactively label pixels in a 2-d medical image sequence.


  • apply a pretrained semantic segmentation networks as a custom automation algorithm in the medical image labeler app.


  • work with a team to label large medical image data sets using the medical image labeler app.

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