<p>For invasive adenocarcinoma prediction, ROC curve based on the combination of the 75<sup>th</sup> percentile CT attenuation value and entropy also shows significant diagnostic accuracy (AUC, 0.780).</p
<p>(A) solid-to-tumor (S/T) ratio: AUC, 0.921 (95%CI: 0.857–0.958). (B) average CT value (AVG): AUC,...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
Objectives: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>Under all reference-corrected values, the standard deviation of the CT attenuation was the only p...
<p>Receiver operating characteristic (ROC) curves of CT volumetry and conventional CT staging by rad...
<p>ROC analysis for comparisons of perfusion and diffusion parameters from the tumor core (A) which ...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>Note. A) ROC curve for all stage CRC with a non-optimism corrected AUC of 0.8870. B) ROC curve fo...
<p>ROC analysis was performed to predict the diagnostic accuracy of malignant nodules on SWV value.<...
<p>The area under the ROC curve (AUC) ± standard error was 0.945±0.182 (<i>P</i><0.001). The dotted ...
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Receiver operating characteristic (ROC) curves of nodal tumor volume (NTV) and N category for pre...
<p>Receiver-operating characteristics (ROC) curve to calculate sensitivity and specificity of circul...
<div><p>(A) The ROC analysis for distinguishing between GC and control subjects using an N-glycan ma...
<p>(A) solid-to-tumor (S/T) ratio: AUC, 0.921 (95%CI: 0.857–0.958). (B) average CT value (AVG): AUC,...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
Objectives: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>Under all reference-corrected values, the standard deviation of the CT attenuation was the only p...
<p>Receiver operating characteristic (ROC) curves of CT volumetry and conventional CT staging by rad...
<p>ROC analysis for comparisons of perfusion and diffusion parameters from the tumor core (A) which ...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>Note. A) ROC curve for all stage CRC with a non-optimism corrected AUC of 0.8870. B) ROC curve fo...
<p>ROC analysis was performed to predict the diagnostic accuracy of malignant nodules on SWV value.<...
<p>The area under the ROC curve (AUC) ± standard error was 0.945±0.182 (<i>P</i><0.001). The dotted ...
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Receiver operating characteristic (ROC) curves of nodal tumor volume (NTV) and N category for pre...
<p>Receiver-operating characteristics (ROC) curve to calculate sensitivity and specificity of circul...
<div><p>(A) The ROC analysis for distinguishing between GC and control subjects using an N-glycan ma...
<p>(A) solid-to-tumor (S/T) ratio: AUC, 0.921 (95%CI: 0.857–0.958). (B) average CT value (AVG): AUC,...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
Objectives: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...