Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 4)
<p>Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 4)</p> <p>https://sites.google.com/view/icassp2024-spgc-3dcbct/home</p> <p>Please download all files (of all parts, 1-5) into one folder, and then merge them together with:</p> <p>$ zip -s 0 train.zip --out train_unsplit.zip</p> <p>[Click and drag to move]</p> <p>This will create a new zip file, "train_unsplit.zip" that then you can unzip with your favorite tool, e.g.</p> <p>$ unzip train_unsplit.zip</p> <p>[Click and drag to move]</p> <p><br> The CBCT geometry required to be used</p> <p>image size : [300 300 300] mm<br> image shape : [256 256 256] voxels<br> voxel size : [1.171875 1.171875 1.171875] mm<br> detector shape : [256 256] pixels<br> detector size : [600, 600] mm<br> pixel size : [2.34375, 2.34375] mm<br> distance source origin (axis of rotation, center of image) : 575 mm<br> distance source to detector : 1050 mm</p> <p>We recommend zenodo_get to download the files:<br> <a href="https://github.com/dvolgyes/zenodo_get">https://github.com/dvolgyes/zenodo_get</a></p> <p><br> Remember that to be part of the challenge you need to register in the webpage above.</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
Dataset details
- Repository
- zenodo
- Published
- September 25, 2023
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.8380873
Scored with release 0.9.0
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