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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2022
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| Materias: | |
| 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 |