Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke

Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke

Abstract Background Computed tomography angiography (CTA) imaging is needed in current guideline-based stroke diagnosis, and infarct core size is one factor in guiding treatment decisions. We studied the efficacy of a convolutional neural network (CNN) in final infarct volume prediction from CTA and...

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Bibliographic Details
Main Authors: Lasse Hokkinen, Teemu Mäkelä, Sauli Savolainen, Marko Kangasniemi
Format: Article
Language:English
Published: SpringerOpen 2021-06-01
Series:European Radiology Experimental
Subjects:
Computed tomography angiography
Stroke
Deep learning
Machine learning
Convolutional neural network
Online Access:https://doi.org/10.1186/s41747-021-00225-1

Internet

https://doi.org/10.1186/s41747-021-00225-1

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