[TMI2019-07]Ea-GANs: Edge-Aware Generative Adversarial Networks for CrossModality MR Image Synthesis
Ea-GANs: Edge-Aware Generative Adversarial Networks for CrossModality MR Image Synthesis 爲了利用來自多重成像模態的互補信息，跨模態 MR 圖像合成引起了越來越多的研究興趣。但是，大多數現有方法僅着眼於最小化像素/體素方向的強度差異，而忽略了圖像內容結構的紋理細節，這影響了合成圖像的質量。具體來說，我們集成了邊
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相關文章
- 1. Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
- 2. Ea-GANs: Edge-aware Generative Adversarial Networks for Cross-modality MR Image Synthesis
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- 4. Binary Generative Adversarial Networks for Image Retrieval
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- 10. Generative Adversarial Text to Image Synthesis 論文解讀