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Distance metric learning for medical image registration

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Figure

Figure 1.1: Left:target image;right:source image
Figure 1.2: Deformable transformation
Figure 2.1: Example of (κ-NN) algorithm with three classes, κ = 5, and the Euclidean distancemetric
Figure 2.2: The first figure shows the projection of a high dimensional dataset into twodimensions; the figure at the right shows the result of DML performed in the higherdimension and then projected into two dimensions.
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