<p>Illustration of the construction of the ROC curve and the ROC surface (ROCS).</p
<p>ROC curves for different parts of pancreas: (A) Head of pancreas. (B) Body of pancreas. (C) Tail ...
<p>ROC curves for the three experimental settings (Multi-instance Learning, Multi-instance Learning ...
<p>ROC curves of kinase Erk2, Erk1, CDC2 and PKC alpha achieved by four different algorithms are plo...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
ROC curves of the methods with different features for representing images and different classifiers....
(a) The result of the first fold PR curve. (b) The result of the second fold PR curve. (c) The resul...
<p>Constructed ROC curves for functional sensibility and traditional sensibility tests.</p
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
<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...
The left and right sections of the image are the ROC curves of U-Net and the proposed model, respect...
<p>ROC curves of hybrid models AAC+DPC, N5C5Bin, Physico and AAC+DPC+Physico+N5C5Bin developed by SV...
<p>ROC curve for 4-markers (ING4-Cul1-BRG1-Bim, purple curve), 3-markers (ING4-Cul1- BRG1, green cur...
<p>The upper and lower green curves correspond to the maximum and minimum ROC curves for the propose...
<p>ROC curves obtained using different methods: (a) HOG, RHOG, and WRHOG, and (b) VO–HOG, VO–RHOG, a...
<p>ROC curves for different parts of pancreas: (A) Head of pancreas. (B) Body of pancreas. (C) Tail ...
<p>ROC curves for the three experimental settings (Multi-instance Learning, Multi-instance Learning ...
<p>ROC curves of kinase Erk2, Erk1, CDC2 and PKC alpha achieved by four different algorithms are plo...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
ROC curves of the methods with different features for representing images and different classifiers....
(a) The result of the first fold PR curve. (b) The result of the second fold PR curve. (c) The resul...
<p>Constructed ROC curves for functional sensibility and traditional sensibility tests.</p
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
<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...
The left and right sections of the image are the ROC curves of U-Net and the proposed model, respect...
<p>ROC curves of hybrid models AAC+DPC, N5C5Bin, Physico and AAC+DPC+Physico+N5C5Bin developed by SV...
<p>ROC curve for 4-markers (ING4-Cul1-BRG1-Bim, purple curve), 3-markers (ING4-Cul1- BRG1, green cur...
<p>The upper and lower green curves correspond to the maximum and minimum ROC curves for the propose...
<p>ROC curves obtained using different methods: (a) HOG, RHOG, and WRHOG, and (b) VO–HOG, VO–RHOG, a...
<p>ROC curves for different parts of pancreas: (A) Head of pancreas. (B) Body of pancreas. (C) Tail ...
<p>ROC curves for the three experimental settings (Multi-instance Learning, Multi-instance Learning ...
<p>ROC curves of kinase Erk2, Erk1, CDC2 and PKC alpha achieved by four different algorithms are plo...