论文阅读——Deformable Medical Image Registration Using Generative Adversarial Networks
基于GAN实现可变医学图像配准
from IBM Research
ISBI2018 Abstract 常规的图像配准都采用迭代的方式，十分耗时。而近期深度学习技术可以在迭代中提取的深层特征进行图像配准。本文借助生成对抗网络从而避免了配准过程中耗时良久的迭代过程，直接生成配准后的图像。通过在GAN的损失函数中增加适当约束可以在一秒内生成精确的图像，在多模态的视网膜图像及心室MR图像中验证了本文
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相关文章
- 1. 【论文阅读笔记】An Unsupervised Learning Model for Deformable Medical Image Registration
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