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@ -41,7 +41,7 @@
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// Introduce the building blocks used to define the segmentation network.
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// Introduce the building blocks used to define the segmentation network.
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// The network first does residual downsampling (similar to the dnn_imagenet_(train_)ex
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// The network first does residual downsampling (similar to the dnn_imagenet_(train_)ex
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// example program), and then residual upsampling. In addition, U-Net style skip
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// example program), and then residual upsampling. In addition, U-Net style skip
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// connections are used, so that not every simple detail needs to reprented on the low
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// connections are used, so that not every simple detail needs to represented on the low
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// levels. (See Ronneberger et al. (2015), U-Net: Convolutional Networks for Biomedical
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// levels. (See Ronneberger et al. (2015), U-Net: Convolutional Networks for Biomedical
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// Image Segmentation, https://arxiv.org/pdf/1505.04597.pdf)
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// Image Segmentation, https://arxiv.org/pdf/1505.04597.pdf)
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