Table 2.

Individual features with the highest AUC in the task of discriminating between N lesions of given pathology and those of all other pathologies (features selected by stepwise feature selection for the task of distinguishing between malignant and benign lesions are indicated in bold font, IDC = invasive ductal carcinoma, DCIS = ductal carcinoma in situ, FA = fibroadenoma, BN = benign other than FA).

		QIA		3CB
	N	Feature	AUC	Feature	AUC
IDC	10	FWHM1 border	0.66	Water: Median w/in periphery	0.66
DCIS	5	Circularity	0.71	Water: Skewness w/in lesion	0.71
FA	11	Radial gradient margin	0.65	Protein: Relative2 median	0.70
BN	19	Texture (σ3)	0.64	Protein: Relative mean lesion	0.65
IDC+DCIS	15	Entropy	0.66	Water: Skewness w/in periphery	0.68

¹FWHM = full width at half maximum of gray value histogram.

²“Relative” indicates the value w/in the lesion with respect to that in the lesion periphery.

³σ = standard deviation.