Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 3)
<p>Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 3)</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> <pre><code class="language-bash">$ zip -s 0 train.zip --out train_unsplit.zip </code></pre> <p>This will create a new zip file, "train_unsplit.zip" that then you can unzip with your favorite tool, e.g.</p> <pre><code class="language-bash">$ unzip train_unsplit.zip</code></pre> <p> </p> <p>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>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.8380507
Scored with release 0.9.0
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.