使用归一化互信息作为相似性量度。
Normalized mutual information was adopted as the similarity measure.
基于互信息的配准方法,包括互信息和归一化互信息方法,是目前医学图像配准中无创、自动且精度很高的一种方法,已经被广泛应用。
Image registration methods based on mutual information, including mutual information and normalized mutual information, have been accepted as the most accurate and efficient methods.
基于互信息的配准方法,包括互信息和归一化互信息方法,是目前医学图像配准中无创、自动且精度很高的一种方法,已经被广泛应用。
Image registration methods based on mutual information, including mutual information and normalized mutual information, have been accepted as the most accurate and efficient methods.
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