Automatic Brain Tumor Segmentation by Deep Convolutional Networks and Graph Cuts

@inproceedings{Wang2018AutomaticBT,
  title={Automatic Brain Tumor Segmentation by Deep Convolutional Networks and Graph Cuts},
  author={Zhenyi Wang},
  year={2018}
}
Brain tumor segmentation in magnetic resonance imaging (MRI) is helpful for diagnostics, growth rate prediction, tumor volume measurements and treatment planning of brain tumor. The difficulties for brain tumor segmentation are mainly due to high variation of brain tumors in size, shape, regularity, location, and their heterogeneous appearance (e.g., contrast, intensity and texture variation for different tumors). Due to recent advances in deep convolutional neural networks for semantic image… CONTINUE READING
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