Cargando…
RU-Net: skull stripping in rat brain MR images after ischemic stroke with rat U-Net
BACKGROUND: Experimental ischemic stroke models play a fundamental role in interpreting the mechanism of cerebral ischemia and appraising the development of pathological extent. An accurate and automatic skull stripping tool for rat brain image volumes with magnetic resonance imaging (MRI) are cruci...
Autores principales: | Chang, Herng-Hua, Yeh, Shin-Joe, Chiang, Ming-Chang, Hsieh, Sung-Tsang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045128/ https://www.ncbi.nlm.nih.gov/pubmed/36973775 http://dx.doi.org/10.1186/s12880-023-00994-8 |
Ejemplares similares
-
Automatic Skull Stripping of Rat and Mouse Brain MRI Data Using U-Net
por: Hsu, Li-Ming, et al.
Publicado: (2020) -
Segmentation of Rat Brains and Cerebral Hemispheres in Triphenyltetrazolium Chloride-Stained Images after Stroke †
por: Chang, Herng-Hua, et al.
Publicado: (2021) -
Automated Skull Stripping in Mouse Functional Magnetic Resonance Imaging Analysis Using 3D U-Net
por: Ruan, Guohui, et al.
Publicado: (2022) -
Attention-augmented U-Net (AA-U-Net) for semantic segmentation
por: Rajamani, Kumar T., et al.
Publicado: (2022) -
U-Net-Based Models towards Optimal MR Brain Image Segmentation
por: Yousef, Rammah, et al.
Publicado: (2023)