Exact(10)
The combination of the distance transform and the marker-based watershed transformation were applied to the images.
The anatomical images were then transformed to conform the Montreal National Institute (MNI) space and the parameters of this transformation were applied to the functional data and smoothed with an 8-mm full width half maximum filter.
Logarithm and Box Cox transformation were applied to achieve normality.
In [20], Laplace transformation and inverse transformation were applied to the simplified CFPEs and the analytical stationary solutions were given.
The parameters from this transformation were applied to normalize the segmented tissue maps from the previous step.
The quantile normalization and log2 transformation were applied to the raw data.
Similar(50)
Logarithmic transformation was applied to transform skewed data to correct for overdispersion.
Affine transformation is applied to all matched pairs.
A contrast stretching transformation is applied to this image.
Finally, a histogram transformation is applied to highlight the crack.
To get the final result, inverse IHS transformation is applied.
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