AAPM DL-Spectral CT Challenge
Reconstruct adipose, fibroglandular and calcification maps directly from simulated dual-kVp breast CT data: 1,000 training cases and a 100-case test set. The spectral counterpart of the DL-Sparse-View challenge.
| Type | Benchmark |
|---|---|
| Tasks | spectral, reconstruction |
| Year | 2022 |
| Official page | https://www.aapm.org/GrandChallenge/DL-spectral-CT/ |
How to cite
The paper that describes this entry:
- Report on the AAPM deep-learning spectral CT Grand Challenge (Med Phys, 2024)
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 |
|---|---|---|---|
| Report on the AAPM deep-learning spectral CT Grand Challenge | Med Phys | 2024 | paper |
Related topics
Topic pages that list this entry among their datasets and benchmarks.
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