A retinal vessel segmentation network approach based on rough sets and attention fusion module
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference38 articles.
1. DUNet: A deformable network for retinal vessel segmentation[J];Qiangguo;Knowledge Based Systems,2019
2. Lightweight attention convolutional neural network for retinal vessel image segmentation[J];Li;IEEE Trans. Ind. Inf.,2020
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4. X. Xiao, S. Lian, Z. Luo, S. Li, Weighted res-unet for high-quality retina vessel segmentation, Proceedings of the 2018 9th International Conference on Information Technology in Medicine and Education (ITME), IEEE, Hangzhou, China, 2018, pp. 327-331.
5. P.H. Progga, S. Shatabda, iResSENet: An accurate convolutional neural network for retinal blood vessel segmentation, Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part III, Springer, 2023, pp. 567-578.
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