AAPM DL-Spectral CT challenge data
Training data of the 2022 AAPM deep-learning spectral CT challenge: 1,000 simulated breast-phantom cases with low- and high-kVp transmission data and images, and the adipose, fibroglandular and calcification maps to recover (512 × 512, NumPy).
| Type | Dataset |
|---|---|
| Data | Projection + image |
| Modality | simulated dual-energy breast CT |
| Tasks | spectral, reconstruction |
| Licence (of the dataset) | CC BY 4.0 |
| Official page | https://doi.org/10.5281/zenodo.14262737 |
| DOI | 10.5281/zenodo.14262737 |
How to cite
The paper that describes this entry:
- Report on the AAPM deep-learning spectral CT Grand Challenge (Med Phys, 2024)
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| Paper | Venue | Year | Links |
|---|---|---|---|
| Report on the AAPM deep-learning spectral CT Grand Challenge | Med Phys | 2024 | paper |
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