【论文学习】Non-local U-Nets for Biomedical Image Segmentation
1.摘要 深度学习在不同的生物图像分割上表现出色。现存的模型基本上是在U-Net基础上进行的改进，并且采用encoder-decoder的架构，这种架构通过堆积local operators来逐渐汇集长范围的信息。然而，使用local operators限制了效率和其有效性。在我们的工作中，我们提出了non-local U-Nets，采用了具有弹性的global aggregation block
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