A Novel Algorithm for Breast Mass Classification in Digital Mammography Based on Feature Fusion

Table 3

Comparison of MR8 features, deep CNN features, and fusion after reduction.

Dataset	Methods	AUC	Acc
CBIS–DDSM	MR8 features only	0.8964	0.8042
	Deep CNN features only	0.9262	0.8867
	Fusing MR8 and deep CNN features	0.9795	0.9430
INbreast + mini–MIAS	MR8 features only	0.8812	0.8847
	Deep CNN features only	0.8553	0.8728
	Fusing MR8 and deep CNN features	0.9383	0.9359