<p>The ROC curves are plotted for the experienced (top row) and trainee (bottom row) for all 288 breasts (left column) that were normal (n = 181) or tumor bearing (107) and the breasts with small tumors (<5mm<sup>3</sup>) (n = 58) and the associated normal breasts within the same animals (right column). Note that the AUC improved for both observers after ACPPD-Gd but the improvement was more significant for the trainee.</p
<p>ROC statistics were based upon logistic regression analysis of 115 FLD patients and 115 controls....
<p>Comparison of ROC curve constructed for breast CEUS, elastography and BI-RADS.</p
<p>(a) The AUCs calculated for protocol B (0.881) and protocol C (0.892) were significantly higher t...
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>ROC curves showing the performance of liver mass as a diagnostic for HCC (AUROC 0.83) and liver-t...
<p>ROCs curve were developed using the risk scores which are calculated using the weights of differe...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>The black line describes the diagnostic value in men and the red line the diagnostic value in wom...
<p>ROCs curve were developed using the risk scores which are calculated by the weights of different ...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
<p>The ROC curve analysis shows combination diagnosis of ADC value and dilated tubal structure achie...
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>These reflect the ability to detect hepatocellular carcinoma (HCC), focal nodular hyperplasia (FN...
<p>AUC, Area under the ROC Curve; All indicates the combination of E2F1, E2F2, E2F3, E2F4, E2F5, and...
<p>ROC statistics were based upon logistic regression analysis of 115 FLD patients and 115 controls....
<p>Comparison of ROC curve constructed for breast CEUS, elastography and BI-RADS.</p
<p>(a) The AUCs calculated for protocol B (0.881) and protocol C (0.892) were significantly higher t...
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>ROC curves showing the performance of liver mass as a diagnostic for HCC (AUROC 0.83) and liver-t...
<p>ROCs curve were developed using the risk scores which are calculated using the weights of differe...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>The black line describes the diagnostic value in men and the red line the diagnostic value in wom...
<p>ROCs curve were developed using the risk scores which are calculated by the weights of different ...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
<p>The ROC curve analysis shows combination diagnosis of ADC value and dilated tubal structure achie...
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>These reflect the ability to detect hepatocellular carcinoma (HCC), focal nodular hyperplasia (FN...
<p>AUC, Area under the ROC Curve; All indicates the combination of E2F1, E2F2, E2F3, E2F4, E2F5, and...
<p>ROC statistics were based upon logistic regression analysis of 115 FLD patients and 115 controls....
<p>Comparison of ROC curve constructed for breast CEUS, elastography and BI-RADS.</p
<p>(a) The AUCs calculated for protocol B (0.881) and protocol C (0.892) were significantly higher t...