Comparison of convolutional neural networks for detecting large vessel occlusion on computed tomography angiography

Purpose Artificial intelligence diagnosis and triage of large vessel occlusion may quicken clinical response for a subset of time‐sensitive acute ischemic stroke patients, improving outcomes. Differences in architectural elements within data‐driven convolutional neural network (CNN) models impact pe...

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Veröffentlicht in:	Medical physics (Lancaster) 2021-10, Vol.48 (10), p.6060-6068
Hauptverfasser:	Remedios, Lucas W., Lingam, Sneha, Remedios, Samuel W., Gao, Riqiang, Clark, Stephen W., Davis, Larry T., Landman, Bennett A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Brain Ischemia Computed Tomography Angiography Computed Tomography Angiography (CTA) convolutional neural network deep learning Humans image classification large vessel occlusion Neural Networks, Computer Stroke - diagnostic imaging
Online-Zugang:	Volltext
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