{"url":"/dataset/cpcxr","name":"CPCXR","full_name":"COVID-19 Posteroanterior Chest X-Ray fused","description_markdown":"The **COVID-19 Posteroanterior Chest X-Ray fused** (**CPCXR**) dataset is generated by the fusion of three publicly available datasets: COVID-19 cxr image, Radiological Society of North America (RSNA), and U.S. national library of medicine (USNLM) collected Montgomery country - NLM(MC). The dataset consists of samples of diseases labeled as COVID-19, Tuberculosis, Other pneumonia (SARS, MERS, etc.), and Normal. The dataset can be utilized to train an evaulate deep learning and machine learning models as binary and multi-class classification problem.\n\nSource: [https://github.com/nspunn1993/COVID-19-PA-CXR-fused-dataset](https://github.com/nspunn1993/COVID-19-PA-CXR-fused-dataset)","description_withheld":null,"homepage":"https://github.com/nspunn1993/COVID-19-PA-CXR-fused-dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/automated-diagnosis-of-covid-19-with-limited","title":"Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks","first_author":"Narinder Singh Punn","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Multi-class Classification","url":"/task/multi-class-classification","datasets_with_task":"/datasets/task/multi-class-classification"},{"name":"Computed Tomography (CT)","url":"/task/computed-tomography-ct","datasets_with_task":"/datasets/task/computed-tomography-ct"}],"languages":[],"variants":["CPCXR"],"data_loaders":[{"repo":"https://github.com/nspunn1993/COVID-19-PA-CXR-fused-dataset","url":"https://github.com/nspunn1993/COVID-19-PA-CXR-fused-dataset","frameworks":[]}],"num_papers_in_archive":1,"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."}