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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Evaluation of automatic discrimination between benign and malignant prostate tissue in the era of high precision digital pathology

Fig. 3

ROC curves of Monte Carlo cross-validation with 100 random splits. The solid (blue) curve denotes the mean ROC curve and the shaded gray area highlights its standard deviation. NN uses 16 significant features of the color transform Saturation of stain PIN-4 to compute the curves, see text. The AUC \(0.93 \pm 0.04\) of the mean ROC curve is preferable high and demonstrates the predictive power of the features of the color transform Saturation of stain PIN-4

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