Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging—State-of-the-Art and Challenges

Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical diagnoses and research which underpin many recent breakthroughs in medicine and biology. The post-processing of reconstructed MR images is often automated for incorporation into MRI scanners by the manufacturers an...

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Detalles Bibliográficos
Autores principales: Chen, Zhaolin, Pawar, Kamlesh, Ekanayake, Mevan, Pain, Cameron, Zhong, Shenjun, Egan, Gary F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984670/
https://www.ncbi.nlm.nih.gov/pubmed/36323914
http://dx.doi.org/10.1007/s10278-022-00721-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984670/
https://www.ncbi.nlm.nih.gov/pubmed/36323914
http://dx.doi.org/10.1007/s10278-022-00721-9

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