zenodoopen
Supplementary Video 1: Training deep learning models for cell image segmentation with sparse annotations
<p>Supplementary Video 1: Training deep learning models for cell image segmentation with sparse annotations</p> <p><strong>Acknowledgements</strong></p> <p>I am grateful to Michalis Averof (IGFL, CNRS) in whose lab this work was initiated and carried out, and to Shuichi Onami (RIKEN, BDR) in whose lab part of this work was carried out.</p> <p>Applications used in this movie:</p> <p>StarDist: <a href="https://github.com/stardist/stardist">https://github.com/stardist/stardist</a></p> <p>QuPath: <a href="https://qupath.github.io/">https://qupath.github.io/</a></p>
ShareScore
32/100
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
- 8
- Engagement
- 0