Figure 1.

Segmentation quality assessment. (a) Distribution of out-of-focus assessments (orange) by the four raters (x-axis) for each image (y-axis). A total of 17 images were deemed out of focus by only one rater, 8 images were deemed out of focus by two raters, 6 images were deemed out of focus by three raters, and 4 images were deemed out of focus by all the four raters. (b) Estimated coefficients (and 95% confidence interval) for variables in a linear model that predicts the mean image quality score across raters. The coefficients for the regions quantify the difference in the intercept from that of the default region (legs).