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Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks
2019
Computers in Biology and Medicine
The use of Computed Tomography (CT) imaging for patients with stroke symptoms is an essential step for triaging and diagnosis in many hospitals. However, the subtle expression of ischemia in acute CT images has made it hard for automated methods to extract potentially quantifiable information. In this work, we present and evaluate an automated deep learning tool for acute stroke lesion core segmentation from CT and CT perfusion images. For evaluation, the Ischemic Stroke Lesion Segmentation
doi:10.1016/j.compbiomed.2019.103487
pmid:31629272
fatcat:nddf664wqva6zcc7di6xgt4ffm