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- W4312891918 abstract "Optical coherence tomography angiography (OCTA) allows visualization of retinal and choroidal capillaries. In this paper, we propose an enhanced structure-consistent adversarial networks (SCGAN) based on the idea of cyclic consistent antagonism. The SCGAN is to repair vascular blurring or loss caused by low-density image samples. In order to improve the quality of the image while keeping vascular structure unchanged, a CycleGAN network is used to replace de-convolution with bi-linear up-sampling and padding convolutions. A loss of structure consistency is introduced. The final results have quantified the effectiveness of the method where the resolution of superficial retinal images and deep retinal images have significantly promoted." @default.
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- W4312891918 date "2022-01-01" @default.
- W4312891918 modified "2023-10-16" @default.
- W4312891918 title "OCTA Image Enhancement by Using a Deep Learning Method" @default.
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- W4312891918 doi "https://doi.org/10.1007/978-981-19-3171-0_44" @default.
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