U-Net: Convolutional Networks for Biomedical Image ...

the network with the stochastic gradient descent implementation of Ca e [6]. Due to the unpadded convolutions, the output image is smaller than the input by a constant border width. To minimize the overhead and make maximum use of the GPU memory, we favor large input tiles over a large batch size and hence reduce the batch to a single image.

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  Network, Image, Biomedical, Convolutional, Stochastic, Convolutional networks for biomedical image

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