By replacing U-Net components with trainable versions of guided and Frangi filters, the authors achieve comparable performance on retinal vessel segmentation with 10x fewer parameters and direct mapping to signal processing tools.
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A Divide-and-Conquer Approach towards Understanding Deep Networks
By replacing U-Net components with trainable versions of guided and Frangi filters, the authors achieve comparable performance on retinal vessel segmentation with 10x fewer parameters and direct mapping to signal processing tools.