[Style Transfer]——GANs for Medical Image Analysis
論文閱讀之GANs for Medical Image Analysis Abstract 生成對抗網絡及其變體在醫學圖像去噪、重建、分割、生成、檢測及分類等任務中均有諸多應用，此外，GAN強大的生成能力可以生成更爲逼真的圖樣，很大程度上減輕了醫學圖像樣本稀缺的問題。
本文主要對GAN在醫學圖像領域的一些應用進行綜述，截止到2018年末，對於各種方法的優點和不足以圖表的形式羅列出來方便對比。 S
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相關文章
- 1. [Style Transfer]——MedGAN: Medical Image Translation using GANs
- 2. [Style Transfer]——Adversarial Stain Transfer for Histopathology Image Analysis
- 3. Image style transfer
- 4. Adversarial Stain Transfer for Histopathology Image Analysis（簡介）
- 5. [Style Transfer]Generative Adversarial Network in Medical Imaging: A Review
- 6. 【翻譯】MED 3D: TRANSFER LEARNING FOR 3D MEDICAL I MAGE ANALYSIS
- 7. 「Medical Image Analysis」Note on Pancreatic Cyst Segmenation
- 8. 「Medical Image Analysis」Note on Deep Attentional Features
- 9. [Style Transfer]—Generative adversarial networks and adversarial method in biomedical image analysis
- 10. [Style Transfer]——Deep Photo Style Transfer