{"url":"/dataset/brats-2014-1","name":"BraTS 2014","full_name":"BraTS 2014","description_markdown":"BRATS 2014 is a brain tumor segmentation dataset.\n\nSource: [Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization](https://arxiv.org/abs/1908.06965)\nImage Source: [http://people.csail.mit.edu/menze/papers/proceedings_miccai_brats_2014.pdf](http://people.csail.mit.edu/menze/papers/proceedings_miccai_brats_2014.pdf)","description_withheld":null,"homepage":"https://www.smir.ch/BRATS/Start2014","introduced_date":"2015-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)","first_author":null,"url":"https://doi.org/10.1109/TMI.2014.2377694"},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"},{"name":"MRI","url":"/datasets/modality/mri"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Brain Tumor Segmentation","url":"/task/brain-tumor-segmentation","datasets_with_task":"/datasets/task/brain-tumor-segmentation"},{"name":"Tumor Segmentation","url":"/task/tumor-segmentation","datasets_with_task":"/datasets/task/tumor-segmentation"}],"languages":[],"variants":["BRATS-2014","BraTS 2014"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/brain-tumor-segmentation-on-brats-2014","task":"Brain Tumor Segmentation","dataset_variant":"BRATS-2014","rows":1,"metrics":["Dice Score"],"first_row_in_archive_order":{"model":"Cascaded Anisotropic CNNs","paper":"/paper/automatic-brain-tumor-segmentation-using-1","metrics":{"Dice Score":"0.8739"},"code_links":[{"title":"charan223/Brain-Tumor-Segmentation-using-Topological-Loss","url":"https://github.com/charan223/Brain-Tumor-Segmentation-using-Topological-Loss"},{"title":"charan223/brain_tumor_topology","url":"https://github.com/charan223/brain_tumor_topology"},{"title":"charan223/topology-aware-networks","url":"https://github.com/charan223/topology-aware-networks"},{"title":"charan223/topology-conscious-networks","url":"https://github.com/charan223/topology-conscious-networks"},{"title":"taigw/brats18_docker","url":"https://github.com/taigw/brats18_docker"},{"title":"julianbertini/MSNet","url":"https://github.com/julianbertini/MSNet"},{"title":"Fabienne703/Data","url":"https://github.com/Fabienne703/Data"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/automatic-brain-tumor-segmentation-using-1","title":"Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks","date":"2017-09-01","rows_on_this_dataset":1,"code_links":7,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":2,"samples_ran":2,"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."}