{"url":"/dataset/3dseg-8","name":"3DSeg-8","full_name":null,"description_markdown":"The 3DSeg-8 is a collection of several publicly available 3D segmentation datasets from different medical imaging modalities, e.g. magnetic resonance imaging (MRI) and computed tomography (CT), with various scan regions, target organs and pathologies.","description_withheld":null,"homepage":"https://github.com/Tencent/MedicalNet","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/med3d-transfer-learning-for-3d-medical-image","title":"Med3D: Transfer Learning for 3D Medical Image Analysis","first_author":"Sihong Chen","url":null},"license":null,"modalities":[{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"Self-Supervised Learning","url":"/task/self-supervised-learning","datasets_with_task":"/datasets/task/self-supervised-learning"}],"languages":[],"variants":["3DSeg-8"],"data_loaders":[{"repo":"https://github.com/Tencent/MedicalNet","url":"https://github.com/Tencent/MedicalNet","frameworks":["pytorch"]}],"num_papers_in_archive":6,"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."}