C2IENet: Multi-branch medical image fusion based on contrastive constraint features and information exchange-Reference-Cited by-同舟云学术

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C2IENet: Multi-branch medical image fusion based on contrastive constraint features and information exchange

Published:2024-09-09 Issue:5 Volume:30 Page:
ISSN:0942-4962
Container-title:Multimedia Systems
language:en
Short-container-title:Multimedia Systems

Author:

Di Jing,Liang Chan,Ren Li,Guo Wenqing,Liu Jizhao,Lian Jing

Funder

Gansu Natural Science Foundation Programme

National Natural Science Foundation of China

Distinguished Young Scholars of Gansu Province of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00530-024-01473-y.pdf

Reference55 articles.

1. Zhang, H., Xu, H., Tian, X., Jiang, J., Ma, J.: Image fusion meets deep learning: a survey and perspective. Inform. Fusion 76, 323–336 (2021). https://doi.org/10.1016/j.inffus.2021.06.008

2. Liu, R., Liu, J., Jiang, Z., Fan, X., Luo, Z.: A bilevel integrated model with data-driven layer ensemble for multi-modality image fusion. IEEE Trans. Image Process. 30, 1261–1274 (2020). https://doi.org/10.1109/TIP.2020.3043125

3. Zhang, H., Wang, H., Tian, X., Ma, J.: P2Sharpen: a progressive pansharpening network with deep spectral transformation. Inform. Fusion 91, 103–122 (2023). https://doi.org/10.1016/j.inffus.2022.10.010

4. Liu, S., Tang, X., Cai, T., Zhang, Y., Wang, C.: COVID-19 CT image segmentation based on improved Res2Net. Med. Phys. 49(12), 7583–7595 (2022). https://doi.org/10.1002/mp.15882

5. Wang, G., Li, W., Gao, X., Xiao, B., Du, J.: Multimodal medical image fusion based on multichannel coupled neural P systems and max-cloud models in spectral total variation domain. Neurocomputing 480, 61–75 (2022). https://doi.org/10.1016/j.neucom.2022.01.059

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