Cargando…
Accurate and lightweight MRI super-resolution via multi-scale bidirectional fusion attention network
High-resolution magnetic resonance (MR) imaging has attracted much attention due to its contribution to clinical diagnoses and treatment. However, because of the interference of noise and the limitation of imaging equipment, it is expensive to generate a satisfactory image. Super-resolution (SR) is...
Autores principales: | Xu, Ling, Li, Guanyao, Chen, Qiaochuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754592/ https://www.ncbi.nlm.nih.gov/pubmed/36520931 http://dx.doi.org/10.1371/journal.pone.0277862 |
Ejemplares similares
-
Lightweight Multi-Scale Asymmetric Attention Network for Image Super-Resolution
por: Zhang, Min, et al.
Publicado: (2021) -
A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution
por: Zhu, Yonggui, et al.
Publicado: (2023) -
Thermal Image Super-Resolution Based on Lightweight Dynamic Attention Network for Infrared Sensors
por: Zhang, Haikun, et al.
Publicado: (2023) -
Enhanced Single Image Super Resolution Method Using Lightweight Multi-Scale Channel Dense Network
por: Lee, Yooho, et al.
Publicado: (2021) -
Super resolution reconstruction of CT images based on multi-scale attention mechanism
por: Yin, Jian, et al.
Publicado: (2023)