Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.

IEEE Transactions on Biomedical Engineering(2017)

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摘要
Feature selection is a critical step in deformable image registration. In particular, selecting the most discriminative features that accurately and concisely describe complex morphological patterns in image patches improves correspondence detection, which in turn improves image registration accuracy. Furthermore, since more and more imaging modalities are being invented to better identify morphol...
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关键词
Image registration,Machine learning,Biomedical imaging,Three-dimensional displays,Feature extraction,Unsupervised learning
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