Iterative deep convolutional encoder-decoder network for medical image segmentation

@article{Kim2017IterativeDC,
  title={Iterative deep convolutional encoder-decoder network for medical image segmentation},
  author={Jung Uk Kim and Hak Gu Kim and Yong Man Ro},
  journal={2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2017},
  pages={685-688}
}
In this paper, we propose a novel medical image segmentation using iterative deep learning framework. We have combined an iterative learning approach and an encoder-decoder network to improve segmentation results, which enables to precisely localize the regions of interest (ROIs) including complex shapes or detailed textures of medical images in an iterative manner. The proposed iterative deep convolutional encoder-decoder network consists of two main paths: convolutional encoder path and… CONTINUE READING
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