Skip to main content

Table 4 Improvements in classification accuracy based on features extracted from all nuclei together (No Ep/St. Sep.) vs. features extracted from epithelial nuclei and stromal nuclei separately (Ep/St Sep.), ranked via the PCA-VIP feature selection scheme, and used to train an SVM classifier. All AUC scores were generated using 3-fold cross validation

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

Experiment

No Ep/St Separation

Ep/St Separation

AUC Improvement

High-High vs. Low-Low

0.71

0.83

0.12

High vs. Low

0.61

0.72

0.11

Low vs. Intermediate and High

0.55

0.58

0.03

Low and Intermediate vs. High

0.55

0.65

0.1

Average

0.61

0.7

0.09