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Abstract #0030

Using convolutional neural networks to predict infarct development in acute ischemic stroke patients:  does reperfusion status matter?

Yuan Xie1, Yannan Yu1, Thoralf Thamm1, Charles Huang1, Enhao Gong1, Soren Christensen1, Maarten Lansberg1, and Greg Zaharchuk1

1Stanford University, Stanford, CA, United States

Convolutional Neural Network has shown promising results in stroke treatment outcome predictions. Our study explores the hypothesis of whether training a CNN model with patients who have similar treatment outcomes can improve the model prediction of day 5 stroke lesion.

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