Sentence examples for raw thickness from inspiring English sources

A morphological filter is then applied to the raw thickness map to remove possible noise (Fig. 4b).

Here, tephra volume estimates are derived from isopach maps produced by modeling raw thickness data as cubic B-spline curves under tension.

For comparison, the AROCs were also derived using only individual raw thickness measurements of: m-RNFL, or cp-RNFL, or GCL+IPL, or rim area and the prediction with the decision tree method.

Subsequently hierarchical models consisting of combinations of two or three sets of regional measures were also created (for example raw cortical thickness measures and raw subcortical volumes, or cortical thickness measures normalised by intracranial volume and subcortical volumes normalised by intracranial volume).

The residuals of this regression were used to substitute for the raw cortical thickness measurements.

We do however believe that volumes should be normalized by ICV and that raw cortical thickness data should be used, especially when looking at single regions or measures.

The unwrapped phase is shown in Fig. 8(b) while the raw optical thickness data are shown in Fig. 8(c).

As can be observed in Tables  6 and 7, normalizing volumes with ICV and raw cortical thickness measures gave the best results.

However, the best overall prediction accuracy was obtained using this combination with raw cortical thickness data and volumes normalized to ICV (91.5 %).

This study demonstrates that combining raw cortical thickness measures with subcortical volumes normalized by intracranial volume gives the best prediction accuracy for separating AD subjects from cognitively normal subjects.

Insert the composition data about the raw material for thickness identification using the fp thin films mode and measure some samples to verify the accuracy, comparing the results with the preview confocal measures;   3.