针对基于属性向量的非线性配准算法,提出用机器学习的方法寻找脑图像中各个点上的最优几何特征向量。
This paper presents a machine learning method to select best geometric features for deformable brain registration for each brain location.
针对基于属性向量的非线性配准算法,提出用机器学习的方法寻找脑图像中各个点上的最优几何特征向量。
This paper presents a machine learning method to select best geometric features for deformable brain registration for each brain location.
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