Ea-GANs: Edge-aware Generative Adversarial Networks for Cross-modality MR Image Synthesis
期刊：IEEE Trans Med Imaging Impact Factor: 6.1 時間：2019 研究背景 在臨牀中，對MRI多模態圖（e.g.,T1-weighted, T2-weighted）的綜合分析，有利於醫生對病情的瞭解。 由於多模態圖的缺失，或者不同機構影像設備不一致，使得MRI多模態圖的合成成爲熱點。 以往的合成圖像，更多的是追求像素值與真實數據相似，忽略其中的結構信息。 以
相關文章
- 1. [TMI2019-07]Ea-GANs: Edge-Aware Generative Adversarial Networks for CrossModality MR Image Synthesis
- 2. Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
- 3. Generative Adversarial Text to Image Synthesis
- 4. Binary Generative Adversarial Networks for Image Retrieval
- 5. Generative Adversarial Networks for Hyperspectral Image Classification
- 6. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 論文解讀
- 7. CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
- 8. text to image（二）:《Generative Adversarial Text to Image Synthesis》
- 9. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
- 10. Generative Adversarial Text to Image Synthesis 論文解讀
- 更多相關文章...
- • RSS
元素 - RSS 教程 - • ASP.NET Image 控件 - ASP.NET 教程
- • Docker 清理命令
- • 漫談MySQL的鎖機制
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. 「插件」Runner更新Pro版，幫助設計師遠離996
- 2. 錯誤 707 Could not load file or assembly ‘Newtonsoft.Json, Version=12.0.0.0, Culture=neutral, PublicKe
- 3. Jenkins 2018 報告速覽，Kubernetes使用率躍升235%！
- 4. TVI-Android技術篇之註解Annotation
- 5. android studio啓動項目
- 6. Android的ADIL
- 7. Android卡頓的檢測及優化方法彙總（線下+線上）
- 8. 登錄註冊的業務邏輯流程梳理
- 9. NDK(1)創建自己的C/C++文件
- 10. 小菜的系統框架界面設計-你的評估是我的決策
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. [TMI2019-07]Ea-GANs: Edge-Aware Generative Adversarial Networks for CrossModality MR Image Synthesis
- 2. Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
- 3. Generative Adversarial Text to Image Synthesis
- 4. Binary Generative Adversarial Networks for Image Retrieval
- 5. Generative Adversarial Networks for Hyperspectral Image Classification
- 6. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 論文解讀
- 7. CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
- 8. text to image（二）:《Generative Adversarial Text to Image Synthesis》
- 9. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
- 10. Generative Adversarial Text to Image Synthesis 論文解讀