[Style Transfer]——Blood Vessel Geometry Synthesis using Generative Adversarial Networks
Blood Vessel Geometry Synthesis using Generative Adversarial Networks GAN用於血管圖像生成 from MIDL2018 Abstract 生成血管圖像可用於擴充訓練數據，本文則藉助GAN合成血管圖像用於冠狀動脈心臟CT血管造影圖的擴充。網絡框架爲WGAN，其中生成網絡負責合成血管集合圖像，判別網絡鑑定輸入的圖像是真實樣本還是合
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相關文章
- 1. Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
- 2. [Style Transfer]—Generative adversarial networks and adversarial method in biomedical image analysis
- 3. Generative Adversarial Text to Image Synthesis
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- 6. [Style Transfer]Generative Adversarial Network in Medical Imaging: A Review
- 7. style-GAN：A Style-Based Generator Architecture for Generative Adversarial Networks. (一)
- 8. Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks
- 9. Generative Adversarial Nets[CycleGAN]
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