Deformable MRI-Ultrasound Registration Using 3D Convolutional Neural Network
一、Motivation 不同模态的图像之间强度分布存在差异，因此现存的配准算法不具备很强的鲁棒性。 无监督且端到端 包含三个部分：特征提取、变形场生成器、空间变换采样。 该方法同时考虑了图像强度和梯度，避免了基于强度的相似性度量的缺点。 二、Method 上图是整个算法的框架， 两个全卷机网络作为特征提取器。分别输入MRI and IUS图像。然后两个特征提取器的输出concatenated输入
相关文章
- 1. 【论文笔记】Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks
- 2. NR-SIQA Using Convolutional Neural Network for Adaptive Feature Extraction
- 3. 01_kaggle - Using a 3D Convolutional Neural Network on medical imaging data (CT Scans) for Kaggle
- 4. Convolutional Neural Network
- 5. 论文阅读《Edge Detection Using Convolutional Neural Network》
- 6. Deformable Convolutional Network论文解读
- 7. Convolutional Neural Network - Object Detection
- 8. CNN(Convolutional Neural Network)
- 9. Convolutional Neural Network Architecture
- 10. 3D Point Cloud Registration for Localization using a Deep Neural Network Auto-Encoder阅读笔记
- 更多相关文章...
- • WebSecurity - ConfirmAccount() - ASP.NET 教程
- • ASP.NET BorderStyle 属性 - ASP.NET 教程
- • 互联网组织的未来：剖析GitHub员工的任性之源
- • Flink 数据传输及反压详解
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
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 【论文笔记】Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks
- 2. NR-SIQA Using Convolutional Neural Network for Adaptive Feature Extraction
- 3. 01_kaggle - Using a 3D Convolutional Neural Network on medical imaging data (CT Scans) for Kaggle
- 4. Convolutional Neural Network
- 5. 论文阅读《Edge Detection Using Convolutional Neural Network》
- 6. Deformable Convolutional Network论文解读
- 7. Convolutional Neural Network - Object Detection
- 8. CNN(Convolutional Neural Network)
- 9. Convolutional Neural Network Architecture
- 10. 3D Point Cloud Registration for Localization using a Deep Neural Network Auto-Encoder阅读笔记