<p>Receiver-operator-characteristic (ROC) curves are shown both in a per-pixel (<b>A</b>) and a per-individual (<b>B</b>) analysis. For the per-individual analyses median values over all 11 projections of each specimen were used. The corresponding areas under the curve (AUCs) are listed below.</p
<p>ROC analysis for comparisons of perfusion and diffusion parameters from the tumor core (A) which ...
<p>AUC, area under the ROC curve; CI, confidence interval; MRI, magnetic resonance imaging.</p
Areas under the curve (AUC)-values (95% CI) are 0.7679 (95% CI 0.64768 to 0.88812), 0.8648 (95% CI 0...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
The left and right sections of the image are the ROC curves of U-Net and the proposed model, respect...
<p>Significance of the area under curve (AUC) was determined by the Student’s t-test taking as the n...
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
<p>ROC curves and their corresponding area under the curve (AUC) values were calculated for each of ...
<p>A<sub>z</sub> (Area Under the Curve) and 95% confidence interval in parenthesis.</p
<div><p>ROC analysis included 136 patients with no myocardial injury as a negative group and 16 pati...
<p>Sensitivity and specificity values were obtained for increasing classification thresholds to prod...
<p>The ROC curve was generated using the results obtained by analyzing 50 negative human serum sampl...
Receiver operator characteristic (ROC) curve for mean attenuation and effective diameter obtained by...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
<p>This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...
<p>ROC analysis for comparisons of perfusion and diffusion parameters from the tumor core (A) which ...
<p>AUC, area under the ROC curve; CI, confidence interval; MRI, magnetic resonance imaging.</p
Areas under the curve (AUC)-values (95% CI) are 0.7679 (95% CI 0.64768 to 0.88812), 0.8648 (95% CI 0...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
The left and right sections of the image are the ROC curves of U-Net and the proposed model, respect...
<p>Significance of the area under curve (AUC) was determined by the Student’s t-test taking as the n...
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
<p>ROC curves and their corresponding area under the curve (AUC) values were calculated for each of ...
<p>A<sub>z</sub> (Area Under the Curve) and 95% confidence interval in parenthesis.</p
<div><p>ROC analysis included 136 patients with no myocardial injury as a negative group and 16 pati...
<p>Sensitivity and specificity values were obtained for increasing classification thresholds to prod...
<p>The ROC curve was generated using the results obtained by analyzing 50 negative human serum sampl...
Receiver operator characteristic (ROC) curve for mean attenuation and effective diameter obtained by...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
<p>This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...
<p>ROC analysis for comparisons of perfusion and diffusion parameters from the tumor core (A) which ...
<p>AUC, area under the ROC curve; CI, confidence interval; MRI, magnetic resonance imaging.</p
Areas under the curve (AUC)-values (95% CI) are 0.7679 (95% CI 0.64768 to 0.88812), 0.8648 (95% CI 0...