LoDoPaB-CT
42,895 simulated human thorax slice pairs (LIDC/IDRI) at a single noise level (N0 = 4096) — other dose levels have to be re-simulated. The de-facto standard low-dose CT benchmark; ships a well-tuned FBP/U-Net reference pipeline.
| Type | Dataset |
|---|---|
| Data | Projection + image |
| Modality | 2D fan-beam |
| Tasks | low-dose, sparse-view, denoising, reconstruction |
| Licence (of the dataset) | CC BY 4.0 |
| Official page | https://zenodo.org/records/3384092 |
| Homepage | https://lodopab.grand-challenge.org/ |
How to cite
The paper that describes this entry:
- LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction (Scientific Data, 2021)
Papers in the directory that use or describe it
Papers whose title, note or abstract summary in the directory names this entry, or that link to it.
| Paper | Venue | Year | Links |
|---|---|---|---|
| LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction | Scientific Data | 2021 | paper · code |
Related topics
Topic pages that list this entry among their datasets and benchmarks.
- Sparse-View CT (157)
- Low-Dose CT Denoising (69)
- Deep Unrolling & Model-Based Learning (68)
- Diffusion & Generative Priors (68)
Related entries
Directory entries that share its official page or name it in their description.
- LIDC-IDRI · Dataset
- LoDoPaB-CT (benchmark release paper) · Dataset
- LoDoPaB-CT benchmark · Benchmark
Guides
Guides that compare this entry with the alternatives.
- Sparse-View CT Reconstruction: Methods, Datasets and Where to Start
- Low-Dose CT Denoising: Benchmarks, Datasets and Toolkits
- How to Choose a CT Reconstruction Dataset
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