{"url":"/dataset/chest-x-ray-images-pneumonia","name":"Chest X-Ray Images (Pneumonia)","full_name":"Abdul Manaf","description_markdown":"The normal chest X-ray (left panel) depicts clear lungs without any areas of abnormal opacification in the image. Bacterial pneumonia (middle) typically exhibits a focal lobar consolidation, in this case in the right upper lobe (white arrows), whereas viral pneumonia (right) manifests with a more diffuse ‘‘interstitial’’ pattern in both lungs.\r\nhttp://www.cell.com/cell/fulltext/S0092-8674(18)30154-5","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Medical Image Generation","url":"/task/medical-image-generation","datasets_with_task":"/datasets/task/medical-image-generation"}],"languages":[],"variants":[],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/classification-on-chest-x-ray-images","task":"Classification","dataset_variant":"Chest X-Ray Images (Pneumonia)","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"AAPSO-Deep Feature Selection","paper":"/paper/an-adaptive-and-altruistic-pso-based-deep","metrics":{"Accuracy":"98.41"},"code_links":[{"title":"rishavpramanik/aapso","url":"https://github.com/rishavpramanik/aapso"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/medical-image-generation-on-chest-x-ray","task":"Medical Image Generation","dataset_variant":"Chest X-Ray Images (Pneumonia)","rows":1,"metrics":["Frechet Inception Distance"],"first_row_in_archive_order":{"model":"DCGAN","paper":"/paper/evaluation-of-deep-convolutional-generative","metrics":{"Frechet Inception Distance":"1.289"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/an-adaptive-and-altruistic-pso-based-deep","title":"An Adaptive and Altruistic PSO-based Deep Feature Selection Method for Pneumonia Detection from Chest X-Rays","date":"2022-08-06","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/evaluation-of-deep-convolutional-generative","title":"Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images","date":"2020-09-02","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"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."}