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Fundus Image Enhancement Method Based on CycleGAN
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019In this paper, we propose a retinal image enhancement method, called Cycle-CBAM, which is based on CycleGAN to realize the migration from poor quality fundus images to good quality fundus images. It does not require paired training set any more, that is critical since it is quite difficult to obtain paired medical images.
Qijing, You +5 more
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UW-CycleGAN: Model-Driven CycleGAN for Underwater Image Restoration
IEEE Transactions on Geoscience and Remote Sensing, 2023Haorui Yan +6 more
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Seg-CycleGAN: An Improved CycleGAN For Abstract Painting Generation
2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL), 2023openaire +1 more source
TC-CycleGAN: Improved CycleGAN with Texture Constraints for Virtual Staining of Pathological Images
Proceedings of the 2023 3rd International Conference on Bioinformatics and Intelligent Computing, 2023Shengbo Huang +5 more
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DPCB-CycleGAN: a heterologous image migration algorithm based on attention mechanism and CycleGAN
5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022Xinjie Gu +3 more
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Cyclegan-Based Mask Diffraction Model
2023 China Semiconductor Technology International Conference (CSTIC), 2023Jiaxiang Zhuo, Dongyong Xu, Yijiang Shen
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2023 8th International Conference on Image, Vision and Computing (ICIVC), 2023
Yueyang Yu +3 more
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Yueyang Yu +3 more
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Animation image transfer using CycleGAN
International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2022Zhixun Liu +3 more
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FL-CycleGAN: Enhancing Mobile Photography with Federated Learning-Enabled CycleGAN
2024 Moratuwa Engineering Research Conference (MERCon)Ramindu Walgama, K.T. Yasas Mahima
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