Application of Machine Learning to Automated Analysis of Cerebral Edema in Large Cohorts of Ischemic Stroke Patients

Application of Machine Learning to Automated Analysis of Cerebral Edema in Large Cohorts of Ischemic Stroke Patients

Cerebral edema contributes to neurological deterioration and death after hemispheric stroke but there remains no effective means of preventing or accurately predicting its occurrence. Big data approaches may provide insights into the biologic variability and genetic contributions to severity and tim...

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Bibliographic Details
Main Authors: Rajat Dhar, Yasheng Chen, Hongyu An, Jin-Moo Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Neurology
Subjects:
ischemic stroke
machine learning
cerebral edema
image analysis and processing
CT scan
CSF volume
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2018.00687/full

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