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. 2022 Nov 4;10:1046296. doi: 10.3389/fpubh.2022.1046296

Table 12.

Comparison of the proposed method to existing techniques.

Sr. No References Year Method Accuracy (%)
1 (47) 2020 Detection of COVID19 infection by using deep features and Bayesian optimization 98.97
2 (48) 2022 COVID19 diagnosis using CNN architected and Bayesian Optimization 96.29
3 (46) 2022 Diagnosis of Corona virus on CT images using bayes optimized DCNN and ML 99.3
Proposed DCNN Bayesian optimization with slicing 98.8
Serial fusion method 97.9
99.4

Bold represent best values.