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Illustration of the architecture of basic Autoencoder (AE) with “encoder” and “decoder” networks for high-level feature learning of nuclei structures. The “encoder” network represents dx × τ input pixel intensities corresponding to an image patch via a lower s1 dimensional feature. Then the “decoder” network reconstructs the pixel intensities within the image patch via the s1 dimensional feature.
