Datasets › SimNICT
SimNICT
SimNICT is the first dataset for training universal non-ideal measurement CT (NICT) enhancement models.
The dataset comprises over 10.9 million NICT-ICT image pairs, including low dose CT (LDCT), sparse view CT (SVCT), and limited angle CT (LACT), under varying defect degrees across whole-body regions.
Paper: Imaging foundation model for universal enhancement of non-ideal measurement CT
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
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Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
CC BY 4.0
Modalities archive 2025-07-28
Languages archive 2025-07-28
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Variants archive 2025-07-28
- SimNICT
1 variant name, as the archive lists them.
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