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Table 3 Area under ROC curve

From: Consistent performance measurement of a system to detect masses in mammograms based on blind feature extraction

Mass ‐ normal tissue

Depending on the origin of mammograms

 

AUC

Scanner

SVM classifier

NN classifier

HOWTEK 960

0.901

0.872

HOWTEK MultiRAD 850

0.900

0.873

DBA M2100

0.873

0.782

LUMISYS

0.879

0.864

Overall results

0.937

0.925

  1. This table shows the results obtained over the different test subsets (considering all the prototypes to form the learning set, or considering only the prototypes from one scanner to form the learning set), as area under the ROC curve (AUC)