Outputs from new methods for 3D+time image segmentation and tracking
<p>Segmentation and tracking of 3D+time images of artificially generates spheres. <br> The file named _20_frames_of_moving_spheres.avi is a 20-frame video of artificially generated spheres moving in time, the file <br> named _resulf_of_20_frames_of_moving_spheres.avi has the result of 4D segmentation, using our new segmentation methods, of the spheres (colored blue) moving in time, and the file _tracking_of_artificial_data_in_20_frames.mp4 has the tracking of these spheres. Additionally, the file named _one_moving_sphere.avi is also a 20-frame video of an artificially generated sphere moving in time, the file named _segmentation_result_one_moving_sphere.avi has the result of 4D segmentation of the sphere (colored blue) moving in time, and the file named _segmentation_result_one_moving_sphere_with_some_missing_spheres.avi has the result of 4D segmentation of the sphere (colored blue) moving in time when frames 5, 10, and 15 are missing in the file _one_moving_sphere.avi.</p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4
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