Cargando…
Image Features of Magnetic Resonance Angiography under Deep Learning in Exploring the Effect of Comprehensive Rehabilitation Nursing on the Neurological Function Recovery of Patients with Acute Stroke
This study was to explore the effects of imaging characteristics of magnetic resonance angiography (MRA) based on deep learning on the comprehensive rehabilitation nursing on the neurological recovery of patients with acute stroke. In this study, 84 patients with acute stroke who were treated in hos...
Autores principales: | Yang, Rui, Zhang, Ying, Xu, Miao, Ma, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449730/ https://www.ncbi.nlm.nih.gov/pubmed/34602911 http://dx.doi.org/10.1155/2021/1197728 |
Ejemplares similares
-
Magnetic Resonance Image Feature Analysis under Deep Learning in Diagnosis of Neurological Rehabilitation in Patients with Cerebrovascular Diseases
por: Li, Xue, et al.
Publicado: (2021) -
DIA-based technology explores hub pathways and biomarkers of neurological recovery in ischemic stroke after rehabilitation
por: Hu, Wei, et al.
Publicado: (2023) -
Effect of Comprehensive Nursing on Traumatic Paraplegia Patients by Evaluation of Magnetic Resonance Imaging Features
por: Xiang, Rui, et al.
Publicado: (2022) -
Effects of professional rehabilitation training on the recovery of neurological function in young stroke patients
por: Li, Chao-jin-zi, et al.
Publicado: (2016) -
Effect of Acupuncture and Rehabilitation Therapy on the Recovery of Neurological Function and Prognosis of Stroke Patients
por: Fu, Lanping, et al.
Publicado: (2022)