Fully convolutional attention network for biomedical image segmentation.

In this paper, we embed two types of attention modules in the dilated fully convolutional network (FCN) to solve biomedical image segmentation tasks efficiently and accurately. Different from previous work on image segmentation through multiscale feature fusion, we propose the fully convolutional at...

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Detalles Bibliográficos
Publicado en:Artificial Intelligence in Medicine Vol. 107
Autores principales: Cheng, Junlong, Tian, Shengwei, Yu, Long, Lu, Hongchun, Lv, Xiaoyi
Formato: research tables/charts Journal Article
Publicado: Elsevier B.V. Jul2020
Acceso en línea:Ver este registro en EBSCOhost