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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), 2019
In 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
openaire   +2 more sources

UW-CycleGAN: Model-Driven CycleGAN for Underwater Image Restoration

IEEE Transactions on Geoscience and Remote Sensing, 2023
Haorui Yan   +6 more
openaire   +1 more source

Seg-CycleGAN: An Improved CycleGAN For Abstract Painting Generation

2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL), 2023
openaire   +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, 2023
Shengbo Huang   +5 more
openaire   +1 more source

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), 2022
Xinjie Gu   +3 more
openaire   +1 more source

Cyclegan-Based Mask Diffraction Model

2023 China Semiconductor Technology International Conference (CSTIC), 2023
Jiaxiang Zhuo, Dongyong Xu, Yijiang Shen
openaire   +1 more source

AT-CycleGAN: Historical Tibetan Document Characters Generation Using Attention and Triplet Loss's CycleGAN

2023 8th International Conference on Image, Vision and Computing (ICIVC), 2023
Yueyang Yu   +3 more
openaire   +1 more source

Animation image transfer using CycleGAN

International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2022
Zhixun Liu   +3 more
openaire   +1 more source

FL-CycleGAN: Enhancing Mobile Photography with Federated Learning-Enabled CycleGAN

2024 Moratuwa Engineering Research Conference (MERCon)
Ramindu Walgama, K.T. Yasas Mahima
openaire   +1 more source

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