Local Binary Patterns Descriptor Based on Sparse Curvelet Coefficients for False-Positive Reduction in Mammograms

Table 1

Result of SOM segmentation.

Dataset used	Result of SOM clustering and threshold				TPR (true-positive rate) = TP/#lesions	FPPI (false-positive per image) = FP/#images
	Mass		Segmented nonmass (FP)	Total (#) images
	Segmented (TP)	Lost
MIAS	108	7	273	322	(108/115) = 0.94	(273/322) = 0.85
DDSM	140	10	1203	250	(140/150) = 0.93	(1203/250) = 4.81
TMCH	172	8	837	360	(172/180) = 0.95	(837/360) = 2.32