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Fig. 5 | BMC Cancer

Fig. 5

From: Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer

Fig. 5

ROC curves for each of the four experiments conducted (panels) and classification methods (lines) using PCA-VIP feature selection. Top left: Low ODx and Low mBR grade vs. High ODx and High mBR grade (Low-Low vs. High-High). Top Right: Low ODx vs. High ODx. Bottom Left: Low ODx vs. Intermediate and High ODx. Bottom Right: Low and Intermediate ODx vs. High ODx. Each panel displays the ROC curve using either (solid) random forest, (dashed) neural network, (dotted) SVM, or (intermediate dash) LDA classification. Feature set includes epithelial and stromal features. AUC values for each curve are displayed in the legend

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