Published February 19, 2023
| Version v1
Dataset
Open
Deep learning-enabled segmentation of ambiguous bioimages with deepflash2
Authors/Creators
- 1. Department of Business and Economics, University of Würzburg, Germany
- 2. Institute of Clinical Neurobiology, University Hospital Würzburg, Germany
- 3. Institute of Clinical Neurobiology, University Hospital Würzburg, Germany and Center for Mental Health, University Hospital Würzburg, Germany
- 4. Department of Neurology, University Hospital Würzburg, Germany
Description
Dataset, trained deep learning (benchmark) models, and Python Code for the paper entitled "Deep learning-enabled segmentation of ambiguous bioimages with deepflash2". See our GitHub Repo for more information.
Files
benchmark_cellpose.zip
Files
(19.7 GB)
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md5:977a743c9e03c36ae2185931f7320689
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md5:23150445a4d74d64be19f9236482a4e1
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md5:cdd19f5a61a9297c0f499be9fecccb83
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2.0 GB | Preview Download |
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md5:cdb873ac7fe4edeb104d2e24485d40f5
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2.0 GB | Preview Download |
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md5:d59834556db919670925dea2c17af122
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1.6 GB | Preview Download |
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md5:eefb6f5efb57b8a1f54472b629d6ad85
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1.7 GB | Preview Download |
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md5:de03cca3280201d52d8c8eaab12e2495
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477.3 MB | Preview Download |
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md5:d38cb322b4463056bc971a8348f43d03
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60.3 kB | Download |
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md5:611277d6f3f571952f4e447c32965790
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61.0 kB | Download |
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md5:57400e0b3af5aee95b35198ca5db07ca
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4.2 GB | Preview Download |
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md5:969b0f75aa91638e813fefd7710e73b6
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266.4 kB | Preview Download |
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md5:86a02df3e0ebf1af46ad9b10651488cd
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141.5 MB | Preview Download |