Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks論文閱讀中的問題和思考 1.有監督的串行GAN網絡結構 在圖示的網絡結果中，G1的輸入是真實圖像編碼後的結果，而非直接輸入真實圖像。這個應該是VAE(Variational Autoencoder,
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相關文章
- 1. Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
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