BraTS 2013
Introduced by Bjoern H. Menze et al. in The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
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). There are 25 patients with both synthetic HG and LG images and 20 patients with real HG and 10 patients with real LG images. For each patient, FLAIR, T1, T2, and post-Gadolinium T1 magnetic resonance (MR) image sequences are available.
Source: Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and LocalizationBenchmarks
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BRATS-2013
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Semantic Genesis
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BRATS-2013 leaderboard
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InputCascadeCNN
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Papers
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