Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

@article{Cai2017ImprovingDP,
  title={Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function},
  author={Jinzheng Cai and Le Lu and Yuanpu Xie and Fuyong Xing and Lin Yang},
  journal={CoRR},
  year={2017},
  volume={abs/1707.04912}
}
Deep neural networks have demonstrated very promising performance on accurate segmentation of challenging organs (e.g., pancreas) in abdominal CT and MRI scans. The current deep learning approaches conduct pancreas segmentation by processing sequences of 2D image slices independently through deep, dense per-pixel masking for each image, without explicitly enforcing spatial consistency constraint on segmentation of successive slices. We propose a new convolutional/recurrent neural network… CONTINUE READING
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