Combining convolutional attention mechanism and residual deformable Transformer for infarct segmentation from CT scans of acute ischemic stroke patients

Combining convolutional attention mechanism and residual deformable Transformer for infarct segmentation from CT scans of acute ischemic stroke patients

BackgroundSegmentation and evaluation of infarcts on medical images are essential for diagnosis and prognosis of acute ischemic stroke (AIS). Computed tomography (CT) is the first-choice examination for patients with AIS.MethodsTo accurately segment infarcts from the CT images of patients with AIS,...

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Bibliographic Details
Main Authors: Zhixiang Xu, Changsong Ding
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Neurology
Subjects:
Transformer
convolutional attention mechanism
infarct segmentation
volumetric analysis
acute ischemic stroke
non-contrast CT
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1178637/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2023.1178637/full

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