Added (Rand)ScaleScaleIntensityFixedMean(d) and modified (Rand)AdjustContrast(d) #6542
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…Contrast(d) with by adding arguments
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I, Aaron Kujawa <[email protected]>, hereby add my Signed-off-by to this commit: dce66d0 I, Aaron Kujawa <[email protected]>, hereby add my Signed-off-by to this commit: b9b07bf Signed-off-by: Aaron Kujawa <[email protected]>
Signed-off-by: Aaron Kujawa <[email protected]>
Signed-off-by: Aaron Kujawa <[email protected]>
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ericspod
reviewed
May 24, 2023
ericspod
reviewed
May 24, 2023
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Hi @KumoLiu , Could you please help review this PR? Thanks in advance. |
KumoLiu
reviewed
May 25, 2023
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Signed-off-by: Aaron Kujawa <[email protected]>
Signed-off-by: Aaron Kujawa <[email protected]>
Signed-off-by: Aaron Kujawa <[email protected]>
Signed-off-by: Aaron Kujawa <[email protected]>
Signed-off-by: Aaron Kujawa <[email protected]>
Signed-off-by: Aaron Kujawa <[email protected]>
Signed-off-by: Aaron Kujawa <[email protected]>
ericspod
reviewed
May 30, 2023
Signed-off-by: Aaron Kujawa <[email protected]>
wyli
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Jun 2, 2023
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Many thanks @aaronkujawa, I'm merging this after tagging v1.2.
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Description
This PR adds the intensity transform ScaleIntensityFixedMean (including its random and random dictionary version) and modifies the intensity transform AdjustContrast and its dictionary version. It adds functionality available in the corresponding nnU-Net transforms ContrastAugmentationTransform and GammaTransform.
Specifically, ScaleIntensityFixedMean scales the intensity of the input image by a factor v = v * (1 + factor) (same as the existing ScaleIntensity transform when used with the factor argument). The added functionality is provided by two arguments:
fixed_mean: subtract the mean intensity before scaling with factor, then add the same value after scaling to ensure that the output has the same mean intensity as the input.
preserve_range: clips the output array/tensor to the range of the input array/tensor
AdjustContrast was modified by adding two arguments:
invert_image: multiplies all intensity values by -1 before gamma transform and again after gamma transform
retain_stats: applies a scaling factor and an offset to all intensity values after the gamma transform to ensure that the output intensity distribution has the same mean and standard deviation as the intensity distribution of the input
Types of changes
./runtests.sh -f -u --net --coverage../runtests.sh --quick --unittests --disttests.make htmlcommand in thedocs/folder.