Large spots DeepMIB project, synthetic dataset for testing 2D patch-wise segmentation
<p>A complete DeepMIB project with a synthetic dataset generated for quick tests of the patch-wise segmentation (classification) approaches<br>The dataset includes a trained Resnet18 network for detection of patches that belong to large white spots on black background.<br>The network can be opened by loading "2D_LargeSpots_Patchwise_Resnet18.mibCfg" by</p><ul><li><i>MIB->Menu->Tools->Deep learning segmentation->Options tab->Config files->Load </i></li><li>Drag and drop of the config file into DeepMIB window</li></ul><p>Microscopy Image Browser: <a href="https://mib.helsinki.fi">https://mib.helsinki.fi</a></p>
ShareScore
20/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 8
- Access
- 8
- Reuse readiness
- 0
- Engagement
- 0