<p>The upper and lower green curves correspond to the maximum and minimum ROC curves for the proposed model, and each of the red circles corresponds to the results obtained by a human observer. The average of these ROC curves is shown by the blue curve.</p
<p>ROC curves for the logistic regression models with successive inclusion of the variables: <i>RPAA...
<p>ROC curve for the best model found on the reduced feature set (replication).</p
Maximum diameter (blue), PWS (green), PWRI (brown), RRED (purple) and combination of all parameters ...
<p>Top two rows: ROC curves averaged over four different human test subjects using reported confiden...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
<p>ROC curves of the APPCI, FI, APRI, GPI, and APGA noninvasive models in all study subjects.</p
<p>The black line describes the diagnostic value in men and the red line the diagnostic value in wom...
<p>ROC curve for the best classification models resulting from the LOO validation (ranking based on ...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>ROC curve at 95% confidence for ΔLinearity calculated from MPAM-SHGM (Blue) and histological (Gre...
ROC curves visualizing correct identification of HCM among male and female subjects, p values repres...
<p>ROC curves from disease classification models for differentiating between AD and CN individuals.<...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
<p>The green curve represents the maximum thickness of the neuronal fascicles (MT), the yellow curve...
<p>ROC curves for the logistic regression models with successive inclusion of the variables: <i>RPAA...
<p>ROC curve for the best model found on the reduced feature set (replication).</p
Maximum diameter (blue), PWS (green), PWRI (brown), RRED (purple) and combination of all parameters ...
<p>Top two rows: ROC curves averaged over four different human test subjects using reported confiden...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
<p>ROC curves of the APPCI, FI, APRI, GPI, and APGA noninvasive models in all study subjects.</p
<p>The black line describes the diagnostic value in men and the red line the diagnostic value in wom...
<p>ROC curve for the best classification models resulting from the LOO validation (ranking based on ...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>ROC curve at 95% confidence for ΔLinearity calculated from MPAM-SHGM (Blue) and histological (Gre...
ROC curves visualizing correct identification of HCM among male and female subjects, p values repres...
<p>ROC curves from disease classification models for differentiating between AD and CN individuals.<...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
<p>The green curve represents the maximum thickness of the neuronal fascicles (MT), the yellow curve...
<p>ROC curves for the logistic regression models with successive inclusion of the variables: <i>RPAA...
<p>ROC curve for the best model found on the reduced feature set (replication).</p
Maximum diameter (blue), PWS (green), PWRI (brown), RRED (purple) and combination of all parameters ...
DOI
Add to ORKG