Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks论文阅读中的问题和思考 1.有监督的串行GAN网络结构 在图示的网络结果中，G1的输入是真实图像编码后的结果，而非直接输入真实图像。这个应该是VAE(Variational Autoencoder,
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相关文章
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