3D Densely Convolutional Networks for Volumetric Segmentation

@article{Bui20173DDC,
  title={3D Densely Convolutional Networks for Volumetric Segmentation},
  author={Toan Duc Bui and Jitae Shin and Taesup Moon},
  journal={CoRR},
  year={2017},
  volume={abs/1709.03199}
}
In the isointense stage, the accurate volumetric image segmentation is a challenging task due to the low contrast between tissues. In this paper, we propose a novel very deep network architecture based on densely convolution network for volumetric brain segmentation. The proposed network architecture provides a dense connection between layers that aims to improve the information flow in the network. By concatenating features map of fine and coarse dense blocks, it allows capturing multi-scale… CONTINUE READING
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