Study on the Features of Clinical Imaging Diagnosis of Arteriosclerotic Encephalopathy.
Comput Math Methods Med
; 2022: 3802560, 2022.
Article
em En
| MEDLINE
| ID: mdl-35572835
ABSTRACT
This paper discusses the imaging diagnostic features of arteriosclerotic encephalopathy and combines the spatial context information of local features to study the clinical imaging image copy detection algorithm. Moreover, this paper proposes a clinical imaging copy detection algorithm that combines the BOW model and spatial context embedding and a clinical imaging copy detection algorithm that combines the BOW model and global context verification. In addition, this paper applies the algorithm to the imaging diagnostic features of arteriosclerotic encephalopathy and sets up a controlled experiment to start research. The experimental research shows that the application of imaging diagnosis to the detection of subcortical arteriosclerotic encephalopathy has good clinical effects and rapid remission of patients' symptoms. The effectiveness of this method can be verified by a large number of clinical practices in follow-up studies.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Encefalopatias
/
Demência Vascular
Tipo de estudo:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Comput Math Methods Med
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
China