{"url":"/dataset/verse-1","name":"VerSe","full_name":"Large Scale Vertebrae Segmentation Challenge","description_markdown":"Spine or vertebral segmentation is a crucial step in all applications regarding automated quantification of spinal morphology and pathology. With the advent of deep learning, for such a task on computed tomography (CT) scans, a big and varied data is a primary sought-after resource. However, a large-scale, public dataset is currently unavailable.\r\n\r\nVerSe is a large scale, multi-detector, multi-site, CT spine dataset consisting of 374 scans from 355 patients. The challenge was held in two iterations in conjunction with MICCAI 2019 and 2020. The tasks evaluated for include: vertebral labelling and segmentation.\r\n\r\nImage source: [https://arxiv.org/pdf/2001.09193v5.pdf](https://arxiv.org/pdf/2001.09193v5.pdf)","description_withheld":null,"homepage":"https://github.com/anjany/verse","introduced_date":"2020-01-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/verse-a-vertebrae-labelling-and-segmentation","title":"VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images","first_author":"Anjany Sekuboyina","url":null},"license":{"name":"CC BY-SA 4.0","url":"https://creativecommons.org/licenses/by-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"3D Medical Imaging Segmentation","url":"/task/3d-medical-imaging-segmentation","datasets_with_task":"/datasets/task/3d-medical-imaging-segmentation"}],"languages":[],"variants":["VerSe"],"data_loaders":[],"num_papers_in_archive":39,"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."}