The Multimodal Brain TumorImage Segmentation Benchmark (BRATS)
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4,249 citations
2,842 citations
Cites background or methods from "The Multimodal Brain TumorImage Seg..."
...From the CNN based work that followed, related to our approach are the methods of Zikic et al. (2014); Havaei et al. (2015); Pereira et al. (2015), 1links: http://braintumorsegmentation.org/, www.isles-challenge.org with the latter being the best performing automatic approach in the BRATS 2015 challenge (Menze et al. (2015))....
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...It is thus highly non-trivial to delineate contusions, edema and haemorrhages in TBI (Irimia et al. (2012)), or sub-components of brain tumors such as proliferating cells and necrotic core (Menze et al. (2015))....
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...We demonstrate the generalization capabilities of our system, which without significant modifications outperforms the state-of-the-art on a variety of challenging segmentation tasks, with top ranking results in two MICCAI challenges, ISLES and BRATS....
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...For brain tumors, we evaluate our system on the data from the 2015 Brain Tumor Segmentation Challenge (BRATS) (Menze et al. (2015))....
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...…followed, related to our approach are the methods of Zikic et al. (2014); Havaei et al. (2015); Pereira et al. (2015), 1links: http://braintumorsegmentation.org/, www.isles-challenge.org with the latter being the best performing automatic approach in the BRATS 2015 challenge (Menze et al. (2015))....
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2,040 citations
1,894 citations
Cites background or methods from "The Multimodal Brain TumorImage Seg..."
...[5], generative models generalize well in unseen data, but it may be difficult to explicitly translate...
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...Additionally, the tumor mass effect change the arrangement of the surrounding normal tissues [5]....
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...[5] also used a MRF to segment brain tumors after...
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...[5], the most difficult tasks in brain tumor segmentation are the segmentation of the core region for LGG and the enhancing region for HGG....
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...Zhao et al. [5] also used a MRF to segment brain tumors after a first oversegmentation of the image into supervoxels, with a histogram-based estimation of the likelihood function....
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1,818 citations