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. Author manuscript; available in PMC: 2015 Sep 25.
Published in final edited form as: Int J Comput Assist Radiol Surg. 2014 Mar 25;9(6):1005–1020. doi: 10.1007/s11548-014-0992-1

Fig. 6.

Fig. 6

ROC curves of the fast and accurate SFFS feature selection algorithm (SFFS), SVM trained with all features (All feas), and SFS based on a small within-class distance and a large between-class distance (SFS) of applying our image-based mass classification system to correctly classify the mass ROIs in our image database as benign or malignant. The computed AUC results and 95 confidence intervals are as follows – SFFS: 0.805 [0.779, 0.828]; All feas: 0.807 [0.782, 0.831] and SFS: 0.749 [0.721, 0.775].