Linear fine-tuning: a linear transformation based transfer strategy for deep MRI reconstruction

INTRODUCTION: Fine-tuning (FT) is a generally adopted transfer learning method for deep learning-based magnetic resonance imaging (MRI) reconstruction. In this approach, the reconstruction model is initialized with pre-trained weights derived from a source domain with ample data and subsequently upd...

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Detalles Bibliográficos
Autores principales: Bi, Wanqing, Xv, Jianan, Song, Mengdie, Hao, Xiaohan, Gao, Dayong, Qi, Fulang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318193/
https://www.ncbi.nlm.nih.gov/pubmed/37409107
http://dx.doi.org/10.3389/fnins.2023.1202143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318193/
https://www.ncbi.nlm.nih.gov/pubmed/37409107
http://dx.doi.org/10.3389/fnins.2023.1202143

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