{"url":"/dataset/montgomery-county-x-ray-set","name":"Montgomery County X-ray Set","full_name":null,"description_markdown":"X-ray images in this data set have been acquired from the tuberculosis control program of the Department of Health andHuman Services of Montgomery County, MD, USA. This set contains 138 posterior-anterior x-rays, of which 80 x-rays are normal and 58 x-rays areabnormal with manifestations of tuberculosis. All images are de-identified and available in DICOM format. The set covers a wide range of abnormalities,including effusions and miliary patterns. The data set includes radiology readings available as a text files and summary of its content","description_withheld":null,"homepage":"https://lhncbc.nlm.nih.gov/LHC-publications/pubs/TuberculosisChestXrayImageDataSets.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"}],"languages":[],"variants":["Montgomery County X-ray Set"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semantic-segmentation-on-montgomery-county-x","task":"Semantic Segmentation","dataset_variant":"Montgomery County X-ray Set","rows":3,"metrics":["F1-score"],"first_row_in_archive_order":{"model":"UNETR + SS-CXR","paper":"/paper/ss-cxr-multitask-representation-learning","metrics":{"F1-score":"0.9561"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/ss-cxr-multitask-representation-learning","title":"SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model","date":"2022-11-23","rows_on_this_dataset":3,"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."}