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

  • Published:2022-05 Issue: Volume:75 Page:103558
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Wang Huadeng,Xu Guang,Pan Xipeng,Liu Zhenbing,Lan Rushi,Luo Xiaonan

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Guangxi Natural Science Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CompSegNet: An enhanced U-shaped architecture for nuclei segmentation in H&E histopathology images;Biomedical Signal Processing and Control;2024-11

2. Multi-headed U-Net: an automated nuclei segmentation technique using Tikhonov filter-based unsharp masking;Smart Science;2024-07-10

3. A novel full-convolution UNet-transformer for medical image segmentation;Biomedical Signal Processing and Control;2024-03

4. Hybrid Deep Learning Architectures for Histological Image Segmentation;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19

5. Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformer;Medical Image Understanding and Analysis;2023-12-02
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