Helsinki Tomography Challenge
Real measured limited-angle sinograms. A purely learned network trained on synthetic data won; the only model-based entry (CIL, directional TV) placed third — evidence that classical methods stay competitive at limited angle.
| Type | Benchmark |
|---|---|
| Tasks | limited-angle, reconstruction |
| Year | 2022 |
| Official page | https://www.fips.fi/HTC2022.php |
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 |
|---|---|---|---|
| Data-Efficient Limited-Angle CT Using Deep Priors and Regularization | LNCS | 2025 | paper |
Related topics
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Related entries
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- Helsinki Tomography Challenge 2022 · Dataset
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