S-BIAD493alpha
A Multi-Spectral Myelin Annotation Tool for Machine Learning Based Myelin Quantification
Released: 2022-07-28By: Bilal Kerman, Behcet Toreyin
On this page
In a nutshell
- 25 images
- 5 annotations
- License : https://creativecommons.org/licenses/by/4.0/
This dataset has
- ground truth
- training data
Study Summary
Multi-channel images and ground truth annotations of Myelin used to develop an automated Myelin annotating Machine Learning tool
Annotation Summary
Ground truth annotations of Myelin based on mutli-channel images
Organism
Mus musculus
Imaging type
confocal microscopy
Viewable images
Annotations
- Annotation type(s): segmentation masks
- Annotation method(s): human(expert)
Annotation ID | Filename | Source Image | Download Size | Actions | AN1 | 20201022-ftp/experimentA/Sample_Myelin_Images2/Sample2_Ground_Truth.tif | Sample2 | 773.6MiB | Download | AN2 | 20201022-ftp/experimentA/Sample_Myelin_Images1/Sample1_Ground_Truth.tif | Sample1 | 842.8MiB | Download | AN3 | 20201022-ftp/experimentA/Sample_Myelin_Images3/Sample3_Ground_Truth.tif | Sample3 | 753.2MiB | Download | AN4 | 20201022-ftp/experimentA/Sample_Myelin_Images4/Sample4_Ground_Truth.tif | Sample4 | 622.6MiB | Download | AN5 | 20201022-ftp/experimentA/Sample_Myelin_Images5/Sample5_Ground_Truth.tif | Sample5 | 622.6MiB | Download |
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