{"url":"/dataset/atm22","name":"ATM’22","full_name":null,"description_markdown":"**ATM'22** is a multi-site, multi-domain dataset for pulmonary airway segmentation. It contains large-scale CT scans with detailed pulmonary airways annotation, including 500 CT scans (300 for training, 50 for validation, and 150 for testing). The dataset was collected from different sites and it further included a portion of noisy COVID19 CTs with ground-glass opacity and consolidation.","description_withheld":null,"homepage":"https://atm22.grand-challenge.org/","introduced_date":"2023-03-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/multi-site-multi-domain-airway-tree-modeling","title":"Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation","first_author":"Minghui Zhang","url":null},"license":{"name":"MIT License","url":"https://github.com/Puzzled-Hui/ATM-22-Related-Work/blob/main/LICENSE"},"modalities":[{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[],"languages":[],"variants":["ATM’22"],"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."}