{"url":"/dataset/chest-x-ray-landmark-dataset","name":"Chest x-ray landmark dataset","full_name":null,"description_markdown":"Set of landmark annotations for JSRT, Montgomery, Shenzhen and a subset of Padchest datasets","description_withheld":null,"homepage":"https://github.com/ngaggion/Chest-xray-landmark-dataset","introduced_date":"2022-03-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/improving-anatomical-plausibility-in-medical","title":"Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis","first_author":"Nicolás Gaggion","url":null},"license":null,"modalities":[{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Landmark Recognition","url":"/task/landmark-recognition","datasets_with_task":"/datasets/task/landmark-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Chest x-ray landmark dataset"],"data_loaders":[],"num_papers_in_archive":2,"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":"2026-09-25T09:33:49+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."}