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Brain Tumor Segmentation datasets

archive 2025-07-28

8 datasets carry the task tag "Brain Tumor Segmentation" (the task itself: Brain Tumor Segmentation), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. 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

Brain Tumor Segmentation datasets 1–8 of 8

The BRATS2017 dataset.
77 papers · 1 benchmark
The BraTS 2015 dataset is a dataset for brain tumor image segmentation.
69 papers · 1 benchmark
BRATS 2013 is a brain tumor segmentation dataset consists of synthetic and real images, where each of them is further divided into high-grade gliomas (HG) and low-grade gliomas (LG).
36 papers · 2 benchmarks
FeTS2022 (Federated Tumor Segmentation Challenge 2022)
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
8 papers · 0 benchmarks
BRATS 2014 is a brain tumor segmentation dataset.
5 papers · 1 benchmark
BRISC (BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification)
BRISC is a high-quality, expert-annotated MRI dataset curated for brain tumor segmentation and classification.
1 paper · 1 benchmark
BraTS-Africa (Brain Tumor Segmentation (BraTS) Challenge: Sub Saharan Africa)
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1 paper · 1 benchmark
BraTs Peds 2024 (The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs) 2024)
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1 paper · 1 benchmark

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.