CE-Net: Context Encoder Network for 2D Medical Image Segmentation

@article{Gu2019CENetCE,
  title={CE-Net: Context Encoder Network for 2D Medical Image Segmentation},
  author={Zaiwang Gu and Jun Cheng and H. Fu and Kang Zhou and Huaying Hao and Yitian Zhao and Tianyang Zhang and Shenghua Gao and Jiang Liu},
  journal={IEEE Transactions on Medical Imaging},
  year={2019},
  volume={38},
  pages={2281-2292}
}
Medical image segmentation is an important step in medical image analysis. With the rapid development of a convolutional neural network in image processing, deep learning has been used for medical image segmentation, such as optic disc segmentation, blood vessel detection, lung segmentation, cell segmentation, and so on. Previously, U-net based approaches have been proposed. However, the consecutive pooling and strided convolutional operations led to the loss of some spatial information. In… 
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740 Citations

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