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Tumor Segmentation datasets
archive 2025-07-28
15 datasets carry the task tag "Tumor Segmentation" (the task itself: Tumor Segmentation), ordered by the archive's paper count. Page 1 of 1: 15 shown of 15. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Tumor Segmentation datasets 1–15 of 15
The BraTS 2015 dataset is a dataset for brain tumor image segmentation.
69 papers · 1 benchmark
LiTS17 (Liver Tumor Segmentation Challenge 2017)
LiTS17 is a liver tumor segmentation benchmark.
45 papers · 3 benchmarks
Head and Neck Tumor Segmentation
26 papers · 0 benchmarks
BRATS 2016 is a brain tumor segmentation dataset.
13 papers · 0 benchmarks
BRATS 2014 is a brain tumor segmentation dataset.
5 papers · 1 benchmark
A whole-body FDG-PET/CT dataset with manually annotated tumor lesions (FDG-PET-CT-Lesions) 1,014 studies (900 patients)
4 papers · 0 benchmarks
CSAW-S is a dataset of mammography images which includes expert annotations of tumors and non-expert annotations of breast anatomy and artifacts in the image.
4 papers · 0 benchmarks
The ULS23 test set contains 725 lesions from 284 patients of the Radboudumc and JBZ hospitals in the Netherlands.
2 papers · 1 benchmark
https://drive.google.com/file/d/1XJTfD8Ch-IxmG5VHtKkxGZT336Fl1Q/view?usp=drivelink
1 paper · 0 benchmarks
This is the dataset released along with the publication: CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation [[ArXiv]](https://arxiv.org/abs/2209.11359)…
1 paper · 0 benchmarks
CoCaHis (Colon Cancer Histology Dataset)
Highlights • Publicly available dataset with 82 H&E stained images of frozen sections.
1 paper · 0 benchmarks
A dataset of abdominal CT studies in NifTi format from the open-source medical data repository Medical Decathlon was utilized.
1 paper · 1 benchmark
Unique radiogenomic dataset from a Non-Small Cell Lung Cancer (NSCLC) cohort of 211 subjects.
1 paper · 0 benchmarks
The ULS23 training dataset contains 38,693 diverse lesions from chest-abdomen-pelvis CT examinations.
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.