'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images

@article{Roy2020SqueezeE,
  title={'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images},
  author={Abhijit Guha Roy and S. Siddiqui and S. P{\"o}lsterl and Nassir Navab and C. Wachinger},
  journal={Medical image analysis},
  year={2020},
  volume={59},
  pages={
          101587
        }
}
  • Abhijit Guha Roy, S. Siddiqui, +2 authors C. Wachinger
  • Published 2020
  • Computer Science, Medicine, Mathematics
  • Medical image analysis
  • Deep neural networks enable highly accurate image segmentation, but require large amounts of manually annotated data for supervised training. Few-shot learning aims to address this shortcoming by learning a new class from a few annotated support examples. We introduce, a novel few-shot framework, for the segmentation of volumetric medical images with only a few annotated slices. Compared to other related works in computer vision, the major challenges are the absence of pre-trained networks and… CONTINUE READING
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