Cargando…
Predicting Clinical Outcome in Acute Ischemic Stroke Using Parallel Multi-Parametric Feature Embedded Siamese Network
Stroke is the second leading cause of death and disability worldwide, with ischemic stroke as the most common type. The preferred diagnostic procedure at the acute stage is the acquisition of multi-parametric magnetic resonance imaging (MRI). This type of imaging not only detects and locates the str...
Autores principales: | Osama, Saira, Zafar, Kashif, Sadiq, Muhammad Usman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690444/ https://www.ncbi.nlm.nih.gov/pubmed/33105609 http://dx.doi.org/10.3390/diagnostics10110858 |
Ejemplares similares
-
Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features
por: Grosser, Malte, et al.
Publicado: (2020) -
Correction: Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features
por: Grosser, Malte, et al.
Publicado: (2020) -
MGMSN: Multi-Granularity Matching Model Based on Siamese Neural Network
por: Wang, Xin, et al.
Publicado: (2022) -
Kinship identification using age transformation and Siamese network
por: Abbas, Arshad, et al.
Publicado: (2022) -
SNS-CF: Siamese Network with Spatially Semantic Correlation Features for Object Tracking
por: Ntwari, Thierry, et al.
Publicado: (2020)