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...
| Published in: | Artificial Intelligence in Medicine Vol. 107 |
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| Main Authors: | , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Elsevier B.V.
Jul2020
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| Online Access: | View this record in EBSCOhost |