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Since all differences between images of different defocus that are not related to phase changes generate artifacts, an aberration-corrected microscope is advantageous and focus-dependent changes of the magnification and rotation as well as image distortion should be minimized.
In particular, to obtain accurate image classification, we would expect clear feature space separation between images of different classes.
Moreover, we can compute graph transition energy between images of different subcellular organelles.
The use of computed DW images also ensures that the effects of motion between images of different b-values are taken into account in the ROI.
For example, in multiecho MRI scans, incorporating the similarity between images of different echo times can allow acceleration of the scan.
To enable quantitative comparisons between images of different tissue types, pixel intensities (integrated PMT output) were converted to photons by a calibration based on shot noise, the dominant noise source with a PMT.
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Differences in quality between CTC images of different segments were assessed using ordinal regression analysis.
It stands to reason different presentations of conditions could be rated differently within their classification (e.g. differing presentations of TF 2) or between images of fluorosis and different classifications such as caries or demarcated opacities.
In this figure, the green circles represent the calculated distances between the iris images of different individuals, the red dots stand for those of the same individuals, the black solid line indicates the SVM boundary, and the black dashed lines delineate the margin boundaries.
Mean ADC was also obtained by applying the mono-exponential equation to mean DWI (image averaged between the six images of different MPG directions) at the same b-values.
The imposter class is comprised of the pairs of hamming distances explaining the dissimilarity between every two iris images of different individuals.
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