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Training datasets and final models from paper ''RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation'

<p>&nbsp;See paper &#39;&#39;RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation&#39; for an explanation of how the models and datasets were created.</p> <p>The images are extracted from the following larger datasets using the RootPainter software:</p> <p>Nodules: http://doi.org/10.5281/zenodo.3753603</p> <p>Biopores: http://doi.org/10.5281/zenodo.3753969</p> <p>Roots:&nbsp;http://doi.org/10.5281/zenodo.3527713</p> <p>&nbsp;</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

Topics

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