Article

Deep Robust Residual Network for Brain MRI Super-Resolution

2020-12-10

Abstract excerpt

Spatial resolution is a key factor of quantitatively evaluating the quality of magnetic resonance imagery (MRI). Super-resolution (SR) approaches can improve its spatial resolution by reconstructing high-resolution (HR) images from low-resolution (LR) ones to meet clinical and scientific requirements. To increase the quality of brain MRI, we study a robust residual-learning SR network (RRLSRN) to generate a sharp...

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Literature Corpus work: 68e8ca23-caf8-545c-b632-75fa4d2b5bdf
DOI: 10.21203/rs.3.rs-117695/v1

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