TABLE 7. Comparison between different state-of-the-art algorithms for the classification of breast masses as benign or malignant.

Method	Dataset	Classifier	Accuracy
Rouhi et al. [46]	2781 images	MLP	96.5%
Al-masni et al. [48]	600 pairs	FC-NN	97%
Al-antari et al. [49]	410 pairs	CNN	95.6%
Arora et al. [11]	1318 ROIs	Deep NN	88%
Aly et al. [50]	107 cases	YOLO	89.5%
Gnanasekaran et al. [51]	1416 images	CNN	96.5%
Proposed Temporal Subtraction	80 cases	NN	97.97%