Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network
<b>Background:</b> Accurate delineation of lesions in acute ischemic stroke is important for determining the extent of tissue damage and the identification of potentially salvageable brain tissues. Automatic segmentation on CT images is challenging due to the poor contrast-to-noise ratio...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | AI |
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Online Access: | https://www.mdpi.com/2673-2688/6/1/15 |
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