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Regression coefficients are calculated, which represent the relationship between the optimal threshold and image contrast for various sphere sizes [3].
Parameters a and b are calculated using a set of NEMA IQ phantom acquisitions to determine a regression function that best represents the relationship between the optimal threshold for that phantom and its mSUV 70 and BG.
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We then select the crossover point between the two adjacent rates as the optimal threshold between the two channel states.
The major contribution of the present article was the consideration of the natural heterogeneity of marker measurements between subjects in estimating the optimal threshold of a biomarker with a complex distribution.
It approximates the relationship between the joint metric and the optimal threshold by using a nonlinear continuum rational function.
In order to apply this method, one should deal with two problems: How can we estimate the covariance matrix of non-stationary signals an what is the optimal threshold between the two sets of singular values?
In our study we did not find a direct correlation between the median pairwise distance and the optimal threshold, considering also that the majority of the data sets did not present a normal distribution of distances.
This is why the sensitivity range was set between 75 and 100% to determine the optimal threshold.
The optimal threshold being the intersection between the probability density curves of the marker multiplied by R in the non-diseased group, a change in NB/ NC or in prevalence would only change the shapes of the curves whose intersection has to be found.
5 6 This paper further examines the relationship between self-reported and measured BMI and the nature of the optimal threshold adjustment.
To determine the optimal threshold ξopt based on J, the relationship between the average MAE and the normalized threshold ξnorm for different J, channel model and Tb was determined.
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CEO of Professional Science Editing for Scientists @ prosciediting.com