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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Detalhes bibliográficos

Principais autores:	Md. Biddut Hossain, Rupali Kiran Shinde, Sukhoon Oh, Ki-Chul Kwon, Nam Kim
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-01-01
Colecção:	Sensors
Assuntos:	deep learning 3D MRI transfer learning federated learning Swin transformer MRI datasets
Acesso em linha:	https://www.mdpi.com/1424-8220/24/3/753
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