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Linear trends were assessed between smoking groups per end point by contrasting parameter estimates calculated from the models.
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A statistical comparison procedure can be used to obtain a P-value when contrasting parameters from the two states – cancer and healthy – for a particular gene.
In this case, the GLCM contrast parameter was not correlated with the physicians' consensus.
The GLCM contrast parameter was not influenced by the focal defects and discriminated diffuse heterogeneity well.
CLAHE: contrast-limited adaptive histogram equalization [38] using MATLAB function adapthisteq with contrast parameter set to 0.004.
The GLCM contrast parameter method is not influenced by a focal defect contrary to the FD and RW methods.
The standard deviation parameter of the FDBC, like the GLCM contrast parameter ranking, was not significantly correlated with the physicians' consensus (ρ = −0.46 and ρ = −0.1, respectively).
(A) For each heterogeneity level, the GLCM contrast parameter results are plotted as a function of the perfusion defect levels, leading to seven regression lines (0.7 < R2 <0.9).
The GLCM contrast parameter was the more robust algorithm for quantifying the diffuse heterogeneity levels without an influence from the focal defects.
(B) For each perfusion defect, the GLCM contrast parameter results are plotted as a function of the heterogeneity levels, leading to six regression lines (0.7 < R2 < 0.9).
The GLCM contrast parameter provided good results for the simulated images but was not correlated to the physicians' ranking of the real brain SPECT perfusion images.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com