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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:&nbsp;<a href="https://github.com/stardist/stardist">https://github.com/stardist/stardist</a></p> <p>QuPath:&nbsp;<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