論文閱讀——Synthetic Medical Images from Dual Generative Adversarial Networks
論文閱讀——Synthetic Medical Images from Dual Generative Adversarial Networks 基於雙生成對抗網絡合成醫學圖像 from NIPS2017 Abstract 目前數據驅動型的方法進行醫學圖像的分類十分受追捧，但鑑於醫學圖像的稀缺性，有些圖像的獲取還涉及到病患隱私等問題使得醫學圖像更加難以獲取。一般只允許將病患的數據用於醫學期刊或教學
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相關文章
- 1. 論文閱讀——Deformable Medical Image Registration Using Generative Adversarial Networks
- 2. 論文閱讀——《Generative Adversarial Nets》
- 3. 論文閱讀Synthetic to Real Adaptation with Generative Correlation Alignment Networks
- 4. 論文閱讀——《Conditional Generative Adversarial Nets》
- 5. 論文閱讀——《Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks》
- 6. Self-Attention Generative Adversarial Networks 論文解讀
- 7. BEGAN: Boundary Equilibrium Generative Adversarial Networks閱讀筆記
- 8. 論文閱讀——Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks
- 9. Generative Adversarial Nets 論文閱讀筆記
- 10. 【論文閱讀】CartoonGAN: Generative Adversarial Networks for Photo Cartoonization