... that deformations beyond 2 standard deviations of normal variation constitute regions with large morphological changes; and 2) generating active shape models from the normal subject data and using shape coefficients to classify cartilage morphology. The methodology is evaluated ...

... proteins that maintain the same folds (Matthews Correlation Coefficient of 0.82). We found that JPred4 is ... a classifier this method yielded a Matthews Correlation Coefficient of 0.82, demonstrating its robustness. We then ...

... production (HGP) was fitted with a time-varying coefficient (“SA”, stress action). HGP was limited to a ... conditional (0.46+-0.34) . Using a generalizability coefficient above 0.70, we determined we would need ...

... physician chart review. The anticipated intra-class correlation coefficient determines the desired power’s appropriate sample size. We ... of methods which are used in conjunction with coefficient hypothesis testing to discover explanatory variables with a ...

... ROC curve and MCC is the Matthews Correlation Coefficient [39]. The latter is a balanced measure that ... counts and the expert counts, with a correlation coefficient above 0.98, on both image level and ...

... compared to a baseline determined by computing silhouette coefficient. Clusters were evaluated by measuring cohesion within the ... analysis identifying proportions of each type of genomic variation. These findings raised a concern about the reliability ...

... grains, legumes, sweets, and fats/oils. Pearson’s correlation coefficient was used to identify significant correlations between the ... processes using the virtual SharePoint top Accelerating Total Variation Regularization for Matrix-Valued Images on GPUs Authors: ...

... electrocardiography (ECG). The only requirement is that spectral coefficients are spatially correlated. Unlike other compression algorithms, LFE ...