Synthetic GLCMs generated as bivariate Gaussian distributions, for two different quantization levels, 16 and 24 gray-levels. The elements of the standard GLCM sums to 1, which means that the GLCM element values will decrease with increasing GLCM size. The invariant GLCMs are normalized to keep the total volume of the GLCM at 1, where each element is ascribed an area of 1/N2 units.</p
<p>The areas marked with green indicate patients with similar classification between cohort based no...
Nous nous intéressons ici à l'estimation de paramètres dans des modèles linéaires généralisés mixte...
<p>Average accuracies versus different numbers (1–6) of the labeled samples for each class of the GC...
Fit binomial-response GLMs using either a modified-score approach to bias reduction or maximum penal...
In a 4 × 4 image, three gray-levels are represented by numerical values from 1 to 3. The GLCM is con...
Calculates grey level co-occurrence matrix (GLCM) based texture measures (Hall-Beyer (2017) ; Harali...
<p>GLCM texture features were calculated using search distance <i>d</i> = 5, reference angle <i>θ</i...
(a) Standard deviation of the magnitude distribution of the measurement bias. The error bars represe...
<p>(A) Comparison of GCco vs. NCO tract lengths for WT (B) Comparison of GCco vs. NCO tract lengths ...
Insurance claim costs have been found in numerous studies to be positive and usually positively skew...
Quantitative comparisons among CV model, GCV model, RCV model, LBF model, LCK model and our method f...
The plot shows the GC distribution scaled to 100 bins. The vertical bars with the same color denote ...
<p>GLM analysis of change in PLT counts shows best model is useful (p = .0033, R2 = 16.7%).</p
PurposeTo compare "standardization," "Gaussian normalization," and "Z-score normalization" intensity...
The Haralick texture features are common in the image analysis literature, partly because of their s...
<p>The areas marked with green indicate patients with similar classification between cohort based no...
Nous nous intéressons ici à l'estimation de paramètres dans des modèles linéaires généralisés mixte...
<p>Average accuracies versus different numbers (1–6) of the labeled samples for each class of the GC...
Fit binomial-response GLMs using either a modified-score approach to bias reduction or maximum penal...
In a 4 × 4 image, three gray-levels are represented by numerical values from 1 to 3. The GLCM is con...
Calculates grey level co-occurrence matrix (GLCM) based texture measures (Hall-Beyer (2017) ; Harali...
<p>GLCM texture features were calculated using search distance <i>d</i> = 5, reference angle <i>θ</i...
(a) Standard deviation of the magnitude distribution of the measurement bias. The error bars represe...
<p>(A) Comparison of GCco vs. NCO tract lengths for WT (B) Comparison of GCco vs. NCO tract lengths ...
Insurance claim costs have been found in numerous studies to be positive and usually positively skew...
Quantitative comparisons among CV model, GCV model, RCV model, LBF model, LCK model and our method f...
The plot shows the GC distribution scaled to 100 bins. The vertical bars with the same color denote ...
<p>GLM analysis of change in PLT counts shows best model is useful (p = .0033, R2 = 16.7%).</p
PurposeTo compare "standardization," "Gaussian normalization," and "Z-score normalization" intensity...
The Haralick texture features are common in the image analysis literature, partly because of their s...
<p>The areas marked with green indicate patients with similar classification between cohort based no...
Nous nous intéressons ici à l'estimation de paramètres dans des modèles linéaires généralisés mixte...
<p>Average accuracies versus different numbers (1–6) of the labeled samples for each class of the GC...