Multi-task generative adversarial learning for nuclei segmentation with dual attention and recurrent convolution - Citegraph

Paper Info

Title
Multi-task generative adversarial learning for nuclei segmentation with dual attention and recurrent convolution

Abstract
•Constructing A novel multi-task deep learning-based model for nuclei segmentation.•Proposing a method integrating improved U-Net and generative adversarial learning.•Dual attention and recurrent convolution achieve good segmentation performance.•Good generalization ability for multi-organ segmentation applications.

Year	DOI	Venue
2022	10.1016/j.bspc.2022.103558	Biomedical Signal Processing and Control
Keywords	DocType	Volume
Nuclei segmentation,Multi-task adversarial learning,Dual attention,Residual recurrent convolution	Journal	75
ISSN	Citations	PageRank
1746-8094	0	0.34
References	Authors
0	6

Authors (6 rows)

Cited by (0 rows)

References (0 rows)

Name	Order	Citations	PageRank
Huadeng Wang	1	0	0.34
Guang Xu	2	0	0.34
Xipeng Pan	3	0	0.34
Zhenbing Liu	4	0	0.34
Rushi Lan	5	0	0.34
Xiaonan Luo	6	697	92.76

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