[Retracted] Classification of Breast Cancer Images by Implementing Improved DCNN with Artificial Fish School Model

Table 1

Comparison result of performance evaluation.

Parameters	Existing work [22]		RBFNN using CSO		Deep CNN using AFS
	Training	Testing	Training	Testing	Training	Testing
% of accuracy	97.1	97.0	100	98.3	100	98.66
Sensitivity	0.96	0.96	100	0.98	100	0.991
Specificity	0.97	0.96	100	0.98	100	0.988
Computation time	55sec	30sec	52sec	30sec	20sec	16sec