chicagoypark/Inv_BraSyn

Inv-BraSyn — a frozen 800-slice benchmark for medical inverse problems 800 slices (8 classes × 100) with ground truth, the exact degraded measurement, and the naive reconstruction already materialised. Load it with numpy alone — no source datasets, no loaders, no index caches, no preprocessing to re-derive. The point of freezing it: reproducing this set from raw data requires the original volumes, the exact crop/resize pipeline, the frozen index caches, and the seed rule — and… See the full description on the dataset page: https://huggingface.co/datasets/chicagoypark/Inv_BraSyn.

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