Labeling and Segmentation
Interactive medical image labeling for semantic segmentation
Medical image segmentation partitions image pixels or volume voxels into regions. Labeling assigns each region a meaningful label, and enables you to create ground truth data for training new segmentation algorithms. Use the Medical Image Labeler app to interactively label images using manual, semiautomated, and automated techniques including deep learning networks. You can additionally segment images outside the app using the Medical Segment Anything Model (MedSAM), other deep learning networks, and image processing algorithms.
Categories
- Labeling
Interactive ground truth labeling using the Medical Image Labeler app
- Segmentation
Medical image segmentation using deep learning and image processing algorithms