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Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network
In the proposed D-Net, the dilation convolution is used in the backbone network to obtain a larger receptive field without losing spatial resolution, so as to reduce the loss of feature information and to reduce the difficulty of tiny thin vessels segmentation.
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