Name
Title | ||
|---|---|---|
ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation. |
Abstract | ||
|---|---|---|
•We propose a UNet-based nested segmentation network for medical image segmentation.•Nested UNet architecture integrates features at different levels to improve performance.•Attention mechanism is to focus on target organ while suppressing irrelevant tissue.•Deep supervision is introduced to perform network pruning operations during testing. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cag.2020.05.003 | Computers & Graphics |
Keywords | DocType | Volume |
Attention mechanism,Nested U-Net,Medical image segmentation,Model pruning | Journal | 90 |
ISSN | Citations | PageRank |
0097-8493 | 2 | 0.39 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Li | 1 | 80 | 54.64 |
| Yu-Song Tan | 2 | 38 | 13.98 |
| Wei Chen | 3 | 1711 | 246.70 |
| Xin Luo | 4 | 44 | 5.16 |
| Yulin He | 5 | 2 | 2.42 |
| Yuanming Gao | 6 | 2 | 0.39 |
| Li Fei | 7 | 90 | 18.28 |