Medical Image Synthesis with Context-Aware Generative Adversarial Networks （简介）
本文是关于MRT-to-CT。 首先，提出一个基本的三维FCN结构来估计从MRI得到的CT图像。三维操作可以更好地对三维空间信息进行建模，从而可以解决切片间的不连续问题。其次，利用对抗式训练策略对所设计的网络进行训练。还在生成器的损失函数中加入了一个图像梯度差项（image gradient difference），目的是保持产生的CT的锐度。最后，使用Auto-Conte
相关文章
- 1. Generative Adversarial Text to Image Synthesis
- 2. Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks
- 3. Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
- 4. StackGAN（2017）: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
- 5. StackGAN++《StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks》探析
- 6. text to image（二）:《Generative Adversarial Text to Image Synthesis》
- 7. Generative Adversarial Text to Image Synthesis 论文解读
- 8. 《Generative Adversarial Text to Image Synthesis》阅读理解
- 9. Generative Adversarial Networks for Hyperspectral Image Classification
- 10. Binary Generative Adversarial Networks for Image Retrieval
- 更多相关文章...
- • Scala 简介 - Scala教程
- • AJAX 简介 - PHP教程
- • Github 简明教程
- • Java Agent入门实战（一）-Instrumentation介绍与使用
相关标签/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. 安装cuda+cuDNN
- 2. GitHub的使用说明
- 3. phpDocumentor使用教程【安装PHPDocumentor】
- 4. yarn run build报错Component is not found in path “npm/taro-ui/dist/weapp/components/rate/index“
- 5. 精讲Haproxy搭建Web集群
- 6. 安全测试基础之MySQL
- 7. C/C++编程笔记：C语言中的复杂声明分析，用实例带你完全读懂
- 8. Python3教程(1)----搭建Python环境
- 9. 李宏毅机器学习课程笔记2：Classification、Logistic Regression、Brief Introduction of Deep Learning
- 10. 阿里云ECS配置速记
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Generative Adversarial Text to Image Synthesis
- 2. Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks
- 3. Generative Adversarial Network Architectures For Image Synthesis Using Capsule Networks
- 4. StackGAN（2017）: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
- 5. StackGAN++《StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks》探析
- 6. text to image（二）:《Generative Adversarial Text to Image Synthesis》
- 7. Generative Adversarial Text to Image Synthesis 论文解读
- 8. 《Generative Adversarial Text to Image Synthesis》阅读理解
- 9. Generative Adversarial Networks for Hyperspectral Image Classification
- 10. Binary Generative Adversarial Networks for Image Retrieval