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

Table 6

Performance evaluation of curvelet-based LBP descriptor algorithm.

Dataset	Classification	Normal-malignant			Normal-abnormal			Benign-malignant
	Classifier	Sensitivity	Specificity	AUC	Sensitivity	Specificity	AUC	Sensitivity	Specificity	AUC
MIAS	ANN	0.94	0.93	0.94	0.94	0.94	0.94	1.00	0.97	0.99
	SVM	0.85	0.85	0.85	0.83	0.86	0.85	0.88	0.84	0.86
	KNN	0.67	0.63	0.65	0.58	0.57	0.58	0.62	0.68	0.63
DDSM	ANN	0.98	0.95	0.95	0.83	0.91	0.85	0.99	0.97	0.98
	SVM	0.97	0.88	0.92	0.71	0.91	0.83	0.94	0.89	0.92
	KNN	0.96	0.64	0.87	0.67	0.90	0.80	0.87	0.73	0.79
TMCH: Scanner1	ANN	0.97	0.91	0.94	—	—	—	—	—	—
	SVM	0.96	0.91	0.94	—	—	—	—	—	—
	KNN	0.98	0.82	0.89	—	—	—	—	—	—
TMCH: Scanner2	ANN	0.98	0.92	0.96	—	—	—	—	—	—
	SVM	0.97	0.90	0.94	—	—	—	—	—	—
	KNN	0.92	0.83	0.88	—	—	—	—	—	—