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. 2022 Feb 22;2022:6785707. doi: 10.1155/2022/6785707

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