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Scaling is a linear transformation that changes the size of a mathematical object. The mathematical objects of interest to radiologists that can be scaled are usually image matrices. This simple type of spatial normalization is a common step in image normalization for creating an image data set for AI program creation. Feature scaling is a type of scaling. Scaling can also be used in the creation of augmented data. Scaling need not be isotropic.