{"url":"/dataset/autopet","name":"AutoPET","full_name":null,"description_markdown":"A whole-body FDG-PET/CT dataset with manually annotated tumor lesions (FDG-PET-CT-Lesions)\r\n1,014 studies (900 patients)","description_withheld":null,"homepage":"","introduced_date":"2022-08-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/autopet-challenge-2022-automatic-segmentation","title":"AutoPET Challenge 2022: Automatic Segmentation of Whole-body Tumor Lesion Based on Deep Learning and FDG PET/CT","first_author":"Shaonan Zhong","url":null},"license":null,"modalities":[{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Lesion Segmentation","url":"/task/lesion-segmentation","datasets_with_task":"/datasets/task/lesion-segmentation"},{"name":"Tumor Segmentation","url":"/task/tumor-segmentation","datasets_with_task":"/datasets/task/tumor-segmentation"},{"name":"Lesion Detection","url":"/task/lesion-detection","datasets_with_task":"/datasets/task/lesion-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["AutoPET"],"data_loaders":[],"num_papers_in_archive":4,"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."}