{"url":"/dataset/aeropath","name":"AeroPath","full_name":"AeroPath: An airway segmentation benchmark dataset with challenging pathology","description_markdown":"Public benchmark dataset (AeroPath), consisting of 27 CT images from patients with pathologies ranging from emphysema to large tumors, with corresponding trachea and bronchi annotations.","description_withheld":null,"homepage":"https://github.com/raidionics/AeroPath","introduced_date":"2023-11-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/aeropath-an-airway-segmentation-benchmark","title":"AeroPath: An airway segmentation benchmark dataset with challenging pathology","first_author":"Karen-Helene Støverud","url":null},"license":{"name":"Creative Commons Attribution 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/deed.en"},"modalities":[{"name":"3D","url":"/datasets/modality/3d"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Human Part Segmentation","url":"/task/human-part-segmentation","datasets_with_task":"/datasets/task/human-part-segmentation"}],"languages":[],"variants":["AeroPath"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}