Automatic collateral quantification in acute ischemic stroke using U2-net

Automatic collateral quantification in acute ischemic stroke using U2-net

ObjectivesTo harness the U2-Net deep learning framework for automated quantification of collateral circulation in acute ischemic stroke (AIS) via computed tomography angiography (CTA) images, comparing its performance against traditional visual collateral scores (vCS).MethodsA cohort of 118 confirme...

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Bibliographic Details
Main Authors: Qingqing Lu, Hongyi Chen, Junyan Fu, Xiaodong Zheng, Yiren Xu, Yuning Pan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Neurology
Subjects:
quantitative collateral score
visual collateral score
acute ischemic stroke
deep learning
U2-Net
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1502382/full
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https://www.frontiersin.org/articles/10.3389/fneur.2025.1502382/full

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