Dual-Path Attention Compensation U-Net for Stroke Lesion Segmentation

Dual-Path Attention Compensation U-Net for Stroke Lesion Segmentation

For the segmentation task of stroke lesions, using the attention U-Net model based on the self-attention mechanism can suppress irrelevant regions in an input image while highlighting salient features useful for specific tasks. However, when the lesion is small and the lesion contour is blurred, att...

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Bibliographic Details
Main Authors:	Haisheng Hui, Xueying Zhang, Zelin Wu, Fenlian Li
Format:	Article
Language:	English
Published:	Hindawi Limited 2021-01-01
Series:	Computational Intelligence and Neuroscience
Online Access:	http://dx.doi.org/10.1155/2021/7552185

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