DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images

Segmentation of intracranial aneurysm images acquired using magnetic resonance angiography (MRA) is essential for medical auxiliary treatments, which can effectively prevent subarachnoid hemorrhages. This paper proposes an image segmentation model based on a dense convolutional attention U-Net, whic...

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Detalles Bibliográficos
Autores principales: Yuan, Wenwen, Peng, Yanjun, Guo, Yanfei, Ren, Yande, Xue, Qianwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960533/
https://www.ncbi.nlm.nih.gov/pubmed/35344098
http://dx.doi.org/10.1186/s42492-022-00105-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960533/
https://www.ncbi.nlm.nih.gov/pubmed/35344098
http://dx.doi.org/10.1186/s42492-022-00105-4

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