<p>ROC curves obtained with different feature sets extracted from the tumor region using (a) leave-one-image-out and (b) three-fold cross-validation techniques.</p
ROC curves of the methods with different images features and different classifiers: the proposed met...
<p>AUC, Area under the ROC Curve; All indicates the combination of E2F1, E2F2, E2F3, E2F4, E2F5, and...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
The ROC curves for 2-folds, 4-folds, 10-folds, and leave one subject out cross validation experiment...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
<p>ROC curves of different encoding SVM models using a leave-one-out cross-validation.</p
<p>(a) ROC Curves of the Various Machine Learning Models for Cancer Screening (Male). (b) ROC Curves...
<p>ROC curves for the two models of the development set using leave-one-out cross-validation (LOOCV)...
<p>(A) ROC curves of the PFAA index in stage IIA (red), stage IIB (pink), stage III (orange), and st...
<p>(A) ROC curves for Gram-negative dataset. (B) ROC curves for Gram-positive dataset. (C) ROC curve...
<p>Receiver operating characteristics (ROC) curve analysis of binary logistic regression models, usi...
<p>ROC curves for Nevus Doctor with automatic and semi-automatic/manual segmentation.</p
ROC curves of the methods with different features for representing images and different classifiers....
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
ROC curves of the methods with different images features and different classifiers: the proposed met...
<p>AUC, Area under the ROC Curve; All indicates the combination of E2F1, E2F2, E2F3, E2F4, E2F5, and...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
The ROC curves for 2-folds, 4-folds, 10-folds, and leave one subject out cross validation experiment...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
<p>ROC curves of different encoding SVM models using a leave-one-out cross-validation.</p
<p>(a) ROC Curves of the Various Machine Learning Models for Cancer Screening (Male). (b) ROC Curves...
<p>ROC curves for the two models of the development set using leave-one-out cross-validation (LOOCV)...
<p>(A) ROC curves of the PFAA index in stage IIA (red), stage IIB (pink), stage III (orange), and st...
<p>(A) ROC curves for Gram-negative dataset. (B) ROC curves for Gram-positive dataset. (C) ROC curve...
<p>Receiver operating characteristics (ROC) curve analysis of binary logistic regression models, usi...
<p>ROC curves for Nevus Doctor with automatic and semi-automatic/manual segmentation.</p
ROC curves of the methods with different features for representing images and different classifiers....
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
ROC curves of the methods with different images features and different classifiers: the proposed met...
<p>AUC, Area under the ROC Curve; All indicates the combination of E2F1, E2F2, E2F3, E2F4, E2F5, and...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...