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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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Bibliografski detalji
Izdano u:J Clin Med
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2020
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7355454/
https://ncbi.nlm.nih.gov/pubmed/32599812
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm9061977
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