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Showing 1 to 2 of 2 for “"Medical image super-resolution"”.
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Deep neural networks for medical image super-resolution
Super-resolution plays an essential role in medical imaging because it provides an alternative way to achieve high spatial resolutions with no extra acquisition cost. In the past decades, the rapid development of deep neural networks has ensured high reconstruction fidelity and photo-realistic …
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Single magnetic resonance image super-resolution using generative adversarial network
Super-Resolution is the process of converting given low-resolution images into corresponding high-resolution ones. The resolution enhancement process applied to medical images can potentially improve diagnostic accuracy for a variety of conditions and reduce imaging scan time. Recent improvements …