Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images

@article{Zhang2016CoarsetoFineSF,
  title={Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images},
  author={Yizhe Zhang and Michael T. C. Ying and Lin Yang and Anil T. Ahuja and Danny Ziyi Chen},
  journal={2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  year={2016},
  pages={443-448}
}
Ultrasound as a well-established imaging modality is widely used in imaging lymph nodes for clinical diagnosis and disease analysis. Quantitative analysis of lymph node features, morphology, and relations can provide valuable information for diagnosis and immune system studies. For such analysis, it is necessary to first accurately segment the lymph node areas in ultrasound images. In this paper, we develop a new deep learning method, called Coarse-to-Fine Stacked Fully Convolutional Nets (CFS… CONTINUE READING

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