A Modified Higher-Order Singular Value Decomposition Framework With Adaptive Multilinear Tensor Rank Approximation for Three-Dimensional Magnetic Resonance Rician Noise Removal

The magnetic resonance (MR) images are acknowledged to be inevitably corrupted by Rician distributed noise, which adversely affected the image quality for diagnosis purpose. However, the traditional denoising methods may recover the images from corruptions with severe loss of detailed structure and...

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Detalles Bibliográficos
Autores principales: Wang, Li, Xiao, Di, Hou, Wen S., Wu, Xiao Y., Chen, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518100/
https://www.ncbi.nlm.nih.gov/pubmed/33042808
http://dx.doi.org/10.3389/fonc.2020.01640

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518100/
https://www.ncbi.nlm.nih.gov/pubmed/33042808
http://dx.doi.org/10.3389/fonc.2020.01640

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