{"url":"/dataset/chest-imagenome","name":"Chest ImaGenome","full_name":null,"description_markdown":"Chest ImaGenome is a dataset with a scene graph data structure to describe 242,072 images. Local annotations are automatically produced using a joint rule-based natural language processing (NLP) and atlas-based bounding box detection pipeline. Through a radiologist constructed CXR ontology, the annotations for each CXR are connected as an anatomy-centered scene graph, useful for image-level reasoning and multimodal fusion applications. Overall, the following are provided: i) 1256 combinations of relation annotations between 29 CXR anatomical locations (objects with bounding box coordinates) and their attributes, structured as a scene graph per image, ii) over 670,000 localized comparison relations (for improved, worsened, or no change) between the anatomical locations across sequential exams, as well as ii) a manually annotated gold standard scene graph dataset from 500 unique patients.\r\n\r\nDescription from: [Chest ImaGenome Dataset for Clinical Reasoning](https://paperswithcode.com/paper/chest-imagenome-dataset-for-clinical)\r\n\r\nImage source: [Chest ImaGenome Dataset for Clinical Reasoning](https://paperswithcode.com/paper/chest-imagenome-dataset-for-clinical)","description_withheld":null,"homepage":"https://arxiv.org/pdf/2108.00316v1.pdf","introduced_date":"2021-07-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/chest-imagenome-dataset-for-clinical","title":"Chest ImaGenome Dataset for Clinical Reasoning","first_author":"Joy T. Wu","url":null},"license":{"name":"Custom","url":"https://arxiv.org/pdf/2108.00316v1.pdf"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["Chest ImaGenome"],"data_loaders":[],"num_papers_in_archive":25,"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."}