Table 5.

Result of proposed system and comparison with methodology by using features.

Existing solution	Methodology	Features	Accuracy (%)
Abdel-Nasser et al. [2]	Local database + GLCM + SVM	20	88.0%
Pérez et al. [18]	DDSM + ROI + GLCM + GLCLM + Boolean vector	19 12	94.9% 92.3%
Nababan et al. [16]	Mini MIAS + WFRFT + Jaya-FNN	18	92.27%
Nababan [5]	INbreast + ROI + GLCM + SECoS	16	82.98%
Mohanty et al. [49]	DDSM + ROI + GLCM + GLCLM + decision tree	19 12	96.7% 93.6%
Ozturk et al. [42]	Shrunken features + SMOTE + PCA	20	94.23%
Proposed system	INbreast + (GLCM, LBP, LBGLCM, GLRLM, and SFTA) + ADASYN + FNN	10	99.5%