Brain tumor segmentation with Deep Neural Networks
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Cites background from "Brain tumor segmentation with Deep ..."
...Along with deep neural networks, deep generative models (55)—such as deep belief networks (DBNs) and deep Boltzmann machines (DBMs), which are probabilistic graphical models with multiple layers of hidden variables—have been successfully applied to brain disease diagnosis (29, 33, 47, 56), lesion segmentation (36, 49, 57, 58), cell segmentation (37, 38, 59, 60), image parsing (61–63), and tissue classification (26, 35, 48, 50)....
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2,294 citations
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...[24], multimodality isointense infant brain image segmentation...
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2,291 citations
Additional excerpts
...The use of convolutional neural networks for image segmentation is discussed in [180]....
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References
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"Brain tumor segmentation with Deep ..." refers background or methods in this paper
...This is to keep per-pixel accuracy during full image prediction....
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...Results from the BRATS 2013 online evaluation system confirms that with our best model we managed to improve on the currently published state-of-the-art method both on accuracy and speed as presented in MICCAI 2013....
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...Results from the 2012, 2013 and 2014 editions of the MICCAI-BRATS Challenge suggest that methods relying on random forests are among the most accurate [32, 19, 26]....
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...Keywords: Brain tumor segmentation, deep neural networks...
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...We get the probability of all labels simply by taking the product of each conditional p(Y...
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28,225 citations