The areas under these curves can be found in the legend located on the right side. Grey crosses display the model with the specific threshold yielding the results shown before. Those curves above the red dashed line represent exhibit a discriminating power.</p
<p>ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...
ROC curves of the methods with different images features and different classifiers: the proposed met...
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
ROC curves of the methods with different features for representing images and different classifiers....
<p> <b>ROC curves for four different classifiers and the set of features selected at t...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
<p>The curves A–D present the receiver-operator-characteristics curves of the parameters measured, d...
<p>ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...
The left and right sections of the image are the ROC curves of U-Net and the proposed model, respect...
<p>Sensitivity and specificity values were obtained for increasing classification thresholds to prod...
<p>The upper and lower green curves correspond to the maximum and minimum ROC curves for the propose...
<p>The ROC curves of classifiers created on 48 original features (the blue solid line) and 25 featur...
(a) Severe and Moderate groups; (b) Moderate and Mild groups; (c) Mild and Early airway obstruction ...
<p>ROC curves from disease classification models for differentiating between AD and CN individuals.<...
<p>ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...
ROC curves of the methods with different images features and different classifiers: the proposed met...
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
ROC curves of the methods with different features for representing images and different classifiers....
<p> <b>ROC curves for four different classifiers and the set of features selected at t...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
<p>The curves A–D present the receiver-operator-characteristics curves of the parameters measured, d...
<p>ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...
The left and right sections of the image are the ROC curves of U-Net and the proposed model, respect...
<p>Sensitivity and specificity values were obtained for increasing classification thresholds to prod...
<p>The upper and lower green curves correspond to the maximum and minimum ROC curves for the propose...
<p>The ROC curves of classifiers created on 48 original features (the blue solid line) and 25 featur...
(a) Severe and Moderate groups; (b) Moderate and Mild groups; (c) Mild and Early airway obstruction ...
<p>ROC curves from disease classification models for differentiating between AD and CN individuals.<...
<p>ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...
ROC curves of the methods with different images features and different classifiers: the proposed met...
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...