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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Detalles Bibliográficos
Autores principales: Hui, Haisheng, Zhang, Xueying, Wu, Zelin, Li, Fenlian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423551/
https://www.ncbi.nlm.nih.gov/pubmed/34504522
http://dx.doi.org/10.1155/2021/7552185

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423551/
https://www.ncbi.nlm.nih.gov/pubmed/34504522
http://dx.doi.org/10.1155/2021/7552185

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