Article

A Multi-Scale Channel Attention Network with Federated Learning for Magnetic Resonance Image Super-Resolution

2024-04-10

Abstract excerpt

<title>Abstract</title> <p>Magnetic resonance (MR) images are widely used for clinical diagnosis, whereas its resolution is always limited by some surrounding factors, and under-sampled data is usually generated during imaging. Since high-resolution (HR) MR images contribute to the clinic diagnosis, reconstructing HR MR images from these under-sampled data is pretty important. Recently, deep learning (DL) methods...

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Literature Corpus work: a7813970-2d70-5c41-aebb-5b16011a7e81
DOI: 10.21203/rs.3.rs-4146876/v1

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