A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation

@article{Saueressig2021AJG,
  title={A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation},
  author={Camillo F Saueressig and Adam Berkley and Reshma Munbodh and Ritambhara Singh},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.05580}
}
. We present a joint graph convolution – image convolution neural network as our submission to the Brain Tumor Segmentation (BraTS) 2021 challenge. We model each brain as a graph composed of distinct image regions, which is initially segmented by a graph neural network (GNN). Subsequently, the tumorous volume identified by the GNN is further refined by a simple (voxel) convolutional neural network (CNN), which produces the final segmentation. This approach captures both global brain feature… 

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