Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.

IEEE Transactions on Medical Imaging(2016)

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摘要
Among brain tumors, gliomas are the most common and aggressive, leading to a very short life expectancy in their highest grade. Thus, treatment planning is a key stage to improve the quality of life of oncological patients. Magnetic resonance imaging (MRI) is a widely used imaging technique to assess these tumors, but the large amount of data produced by MRI prevents manual segmentation in a reaso...
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关键词
Tumors,Image segmentation,Magnetic resonance imaging,Kernel,Training,Brain modeling,Context
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