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Super resolution of histopathological frozen sections via deep learning preserving tissue structure
Our deep-learning architecture focuses on learning the error between interpolated images and real images, thereby it generates high-resolution images while preserving critical image details, reducing the risk of diagnostic misinterpretation.
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