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End-To-End Retina Image Synthesis Based on CGAN Using Class Feature Loss and Improved Retinal Detail Loss.
Nan Liang
Liming Yuan
Xianbin Wen
Haixia Xu
Jingyi Wang
Published in:
IEEE Access (2022)
Keyphrases
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end to end
image synthesis
computer graphics
congestion control
feature vectors
admission control
computer vision
image segmentation