Novel Estimation of Penumbra Zone Based on Infarct Growth Using Machine Learning Techniques in Acute Ischemic Stroke

While the penumbra zone is traditionally assessed based on perfusion–diffusion mismatch, it can be assessed based on machine learning (ML) prediction of infarct growth. The purpose of this work was to develop and validate an ML method for the prediction of infarct growth distribution and volume, in...

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Detalles Bibliográficos
Autores principales: Kim, Yoon-Chul, Kim, Hyung Jun, Chung, Jong-Won, Kim, In Gyeong, Seong, Min Jung, Kim, Keon Ha, Jeon, Pyoung, Nam, Hyo Suk, Seo, Woo-Keun, Kim, Gyeong-Moon, Bang, Oh Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355454/
https://www.ncbi.nlm.nih.gov/pubmed/32599812
http://dx.doi.org/10.3390/jcm9061977

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355454/
https://www.ncbi.nlm.nih.gov/pubmed/32599812
http://dx.doi.org/10.3390/jcm9061977

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