Abstract | ||
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•Enhanced adversarial training promotes segmenting elusive vessels in the fundus image.•Multi-scale feature refine blocks maintain the high-resolution information.•The top-to-down feature delivery strategy supplements the detailed representation.•Self-attention mechanism highlights the informative channels for vessel segmentation.•The proposed method outperforms state-of-the-arts in segmenting and generalisability. |
Year | DOI | Venue |
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2021 | 10.1016/j.neucom.2020.06.143 | Neurocomputing |
Keywords | DocType | Volume |
Retinal vessel segmentation,Symmetric adversarial architecture,Refine blocks,Attention mechanism | Journal | 437 |
ISSN | Citations | PageRank |
0925-2312 | 1 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yukun Zhou | 1 | 1 | 1.02 |
Zailiang Chen | 2 | 43 | 9.10 |
Hailan Shen | 3 | 30 | 4.07 |
Xianxian Zheng | 4 | 1 | 0.68 |
Rongchang Zhao | 5 | 9 | 3.81 |
Xuanchu Duan | 6 | 1 | 0.34 |