Impact of the reperfusion status for predicting the final stroke infarct using deep learning

Impact of the reperfusion status for predicting the final stroke infarct using deep learning

Background: Predictive maps of the final infarct may help therapeutic decisions in acute ischemic stroke patients. Our objectives were to assess whether integrating the reperfusion status into deep learning models would improve their performance, and to compare them to current clinical prediction me...

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Bibliographic Details
Main Authors: Noëlie Debs, Tae-Hee Cho, David Rousseau, Yves Berthezène, Marielle Buisson, Omer Eker, Laura Mechtouff, Norbert Nighoghossian, Michel Ovize, Carole Frindel
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage: Clinical
Subjects:
Stroke
Prediction
Convolutional neural network
Magnetic resonance imaging
Reperfusion status
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158220303855

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http://www.sciencedirect.com/science/article/pii/S2213158220303855

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