{"url":"/dataset/lodopab-ct","name":"LoDoPaB-CT","full_name":null,"description_markdown":"LoDoPaB-CT is a dataset of computed tomography images and simulated low-dose measurements. It contains over 40,000 scan slices from around 800 patients selected from the LIDC/IDRI Database. \r\n\r\nSource: [The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods](/paper/the-lodopab-ct-dataset-a-benchmark-dataset)","description_withheld":null,"homepage":"https://zenodo.org/record/3384092","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/the-lodopab-ct-dataset-a-benchmark-dataset","title":"The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods","first_author":"Johannes Leuschner","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Medical Image Enhancement","url":"/task/medical-image-enhancement","datasets_with_task":"/datasets/task/medical-image-enhancement"},{"name":"Dictionary Learning","url":"/task/dictionary-learning","datasets_with_task":"/datasets/task/dictionary-learning"}],"languages":[],"variants":["LoDoPaB-CT"],"data_loaders":[{"repo":"https://github.com/oterobaguer/dip-ct-benchmark","url":"https://paperswithcode.com/dataset/lodopab-ct","frameworks":[]}],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/medical-image-enhancement-on-lodopab-ct","task":"Medical Image Enhancement","dataset_variant":"LoDoPaB-CT","rows":1,"metrics":["SSIM"],"first_row_in_archive_order":{"model":"FTUPGD","paper":"/paper/low-dose-ct-image-reconstruction-by-fine","metrics":{"SSIM":"0.8700"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/low-dose-ct-image-reconstruction-by-fine","title":"Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers","date":"2024-03-06","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}