Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Table 1

Performance parameters on training and validation data.

	Training				Validation DSC
	Hinge loss	Accuracy	Specificity	Sensitivity		Max.	DSC() [DSC()]
PCA + linear SVM	0.9764	0.7263	0.6581	0.7944	0.310.01	0.33820.0005	0.3310 [0.3039 − 0.2169]
PCA + RBFSVM	0.9529	0.7263	0.6581	0.7944	0.310.01	0.33820.0005	0.3310 [0.3039 − 0.2169]
ICA + linear SVM	0.1254	0.9501	0.9410	0.9593	0.310.01	0.530.01	0.5295 [0.475 − 0.484]
ICA + RBFSVM	0.1083	0.9515	0.9573	0.9457	0.290.01	0.440.04	0.1085 [0.3711 − 0.0559]
Raw + linear SVM	2.4429	0.8026	0.8446	0.7605	0.150.07	0.300.05	0.2325 [0.1373 − 0.3058]