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A Systematic Review and Identification of the Challenges of Deep Learning Techniques for Undersampled Magnetic Resonance Image Reconstruction

Deep learning (DL) in magnetic resonance imaging (MRI) shows excellent performance in image reconstruction from undersampled k-space data. Artifact-free and high-quality MRI reconstruction is essential for ensuring accurate diagnosis, supporting clinical decision-making, enhancing patient safety, fa...

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Furkejuvvon:
Váldodahkkit: Md. Biddut Hossain, Rupali Kiran Shinde, Sukhoon Oh, Ki-Chul Kwon, Nam Kim
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: MDPI AG 2024-01-01
Ráidu:Sensors
Fáttát:
deep learning
3D MRI
transfer learning
federated learning
Swin transformer
MRI datasets
Liŋkkat:https://www.mdpi.com/1424-8220/24/3/753
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