Using Deep-Learning-Based Artificial Intelligence Technique to Automatically Evaluate the Collateral Status of Multiphase CTA in Acute Ischemic Stroke

Background: Collateral status is an important predictor for the outcome of acute ischemic stroke with large vessel occlusion. Multiphase computed-tomography angiography (mCTA) is useful to evaluate the collateral status, but visual evaluation of this examination is time-consuming. This study aims to...

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Detalles Bibliográficos
Autores principales: Huang, Chun-Chao, Chiang, Hsin-Fan, Hsieh, Cheng-Chih, Chou, Chao-Liang, Jhou, Zong-Yi, Hou, Ting-Yi, Shaw, Jin-Siang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037617/
https://www.ncbi.nlm.nih.gov/pubmed/36961011
http://dx.doi.org/10.3390/tomography9020052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037617/
https://www.ncbi.nlm.nih.gov/pubmed/36961011
http://dx.doi.org/10.3390/tomography9020052

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