{"url":"/dataset/brixia","name":"BrixIA","full_name":"BrixIA Covid-19","description_markdown":"**BrixIA Covid-19** is a large dataset of CXR images corresponding to the entire amount of images taken for both triage and patient monitoring in sub-intensive and intensive care units during one month (between March 4th and April 4th 2020) of pandemic peak at the ASST Spedali Civili di Brescia, and contains all the variability originating from a real clinical scenario. It includes 4,707 CXR images of COVID-19 subjects, acquired with both CR and DX modalities, in AP or PA projection, and retrieved from the facility RIS-PACS system.","description_withheld":null,"homepage":"https://brixia.github.io/","introduced_date":"2020-06-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/end-to-end-learning-for-semiquantitative","title":"BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset","first_author":"Alberto Signoroni","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"COVID-19 Diagnosis","url":"/task/covid-19-detection","datasets_with_task":"/datasets/task/covid-19-detection"}],"languages":[],"variants":["BrixIA"],"data_loaders":[],"num_papers_in_archive":13,"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."}