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    A residual recurrent convolutional neural network for image superresolution with whole slide images 

    Lynch, Jesse (University of Wisconsin--Whitewater, 2019-04)
    Presented is a deep learning based computational approach to solve the problem of enhancing the resolution of images gained from commonly available low magnification scanners, also known as the image super-resolution (SR) ...

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    AuthorLynch, Jesse (1)Subject
    High resolution imaging (1)
    Image processing--Digital techniques (1)
    Machine learning (1)
    Neural networks (Computer science) (1)
    ... View MoreDate Issued
    2019 (1)
    Has File(s)Yes (1)

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