BRATS 2014 is a brain tumor segmentation dataset.
5 PAPERS • 1 BENCHMARK
…The segmentation evaluation is based on three tasks: WT, TC and ET segmentation.
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The BraTS 2015 dataset is a dataset for brain tumor image segmentation. It consists of 220 high grade gliomas (HGG) and 54 low grade gliomas (LGG) MRIs. Segmented “ground truth” is provide about four intra-tumoral classes, viz. edema, enhancing tumor, non-enhancing tumor, and necrosis.
64 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).
35 PAPERS • 2 BENCHMARKS