Cargando…
FFA-DMRI: A Network Based on Feature Fusion and Attention Mechanism for Brain MRI Denoising
Magnetic Resonance Imaging (MRI) is an indispensable tool in the diagnosis of brain diseases due to painlessness and safety. Nevertheless, Rician noise is inevitably injected during the image acquisition process, which leads to poor observation and interferes with the treatment. Owing to the complex...
Autores principales: | Hong, Dan, Huang, Chenxi, Yang, Chenhui, Li, Jianpeng, Qian, Yunhan, Cai, Chunting |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525046/ https://www.ncbi.nlm.nih.gov/pubmed/33041768 http://dx.doi.org/10.3389/fnins.2020.577937 |
Ejemplares similares
-
SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization
por: Zhang, Fan, et al.
Publicado: (2020) -
Widespread effects of dMRI data quality on diffusion measures in children
por: Koirala, Nabin, et al.
Publicado: (2021) -
SPECTRE—A novel dMRI visualization technique for the display of cerebral connectivity
por: Reisert, Marco, et al.
Publicado: (2021) -
CrOssing fiber Modeling in the Peritumoral Area using dMRI (COMPARI)
por: Golkar, Ehsan, et al.
Publicado: (2023) -
Comprehensive Investigation of White Matter Tracts in Professional Chess Players and Relation to Expertise: Region of Interest and DMRI Connectometry
por: Mayeli, Mahsa, et al.
Publicado: (2018)