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Synthesizing realistic high-resolution retina image by style-based generative adversarial network and its utilization - Scientific Reports
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Realistic image synthesis based on deep learning is an invaluable technique for developing high-performance computer aided diagnosis systems while protecting patient privacy. However, training a generative adversarial network (GAN) for image synthesis remains challenging because of the large amounts of data required for training various kinds of image features.
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