{"url":"/dataset/chest-x-ray-images","name":"Chest X-ray images","full_name":"chest X-ray images for pneumonia detection","description_markdown":"Chest X-ray images for pneumonia detection.","description_withheld":null,"homepage":"https://pubmed.ncbi.nlm.nih.gov/29474911/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Pneumonia Detection","url":"/task/pneumonia-detection","datasets_with_task":"/datasets/task/pneumonia-detection"},{"name":"Self-Supervised Image Classification","url":"/task/self-supervised-image-classification","datasets_with_task":"/datasets/task/self-supervised-image-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Chest X-ray images"],"data_loaders":[{"repo":"https://github.com/ravindraamrao86/DeepLearningProject","url":"https://github.com/ravindraamrao86/DeepLearningProject.git","frameworks":["pytorch"]}],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/pneumonia-detection-on-chest-x-ray-images-1","task":"Pneumonia Detection","dataset_variant":"Chest X-ray images","rows":4,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"Selfsynthx","paper":"/paper/enhancing-cognition-and-explainability-of","metrics":{"Accuracy":"98.72"},"code_links":[{"title":"sycny/selfsynthx","url":"https://github.com/sycny/selfsynthx"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/self-supervised-image-classification-on-chest","task":"Self-Supervised Image Classification","dataset_variant":"Chest X-ray images","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"DINO-CXR","paper":"/paper/dino-cxr-a-self-supervised-method-based-on","metrics":{"Accuracy":"95.66"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/enhancing-cognition-and-explainability-of","title":"Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data","date":"2025-02-19","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/efficient-and-accurate-pneumonia-detection","title":"Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach","date":"2024-08-08","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/dino-cxr-a-self-supervised-method-based-on","title":"DINO-CXR: A self supervised method based on vision transformer for chest X-ray classification","date":"2023-08-01","rows_on_this_dataset":2,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":1,"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."}