Multi-Modal Image Registration with Unsupervised Deep Learning
https://dspace.mit.edu/handle/1721.1/123142 这篇论文主要是讲多模配准的两个损失函数MI和MIND，网络结构还是voxelmorph。 摘要： 传统的方法还是优化方法（optimization，只要是DL的方法都会这么一说），所以很慢。 deep learning的方法是学习一个全局函数，加速配准过程。不过一般专注于单模配准。 引言： 不同的成像技术对体内
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相关文章
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- 2. 论文Multimodal Unsupervised Image-to-Image Translation
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- 5. Image Registration
- 6. Unsupervised Learning: Deep Auto-encoder
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