Table 1.
Systematic literature review.
Fig 1.
Proposed research flow diagram.
Fig 2.
Sample medical images.
Fig 3.
Proposed CNN architecture.
Table 2.
Proposed Resnet50’s architecture.
Fig 4.
Fitness function.
Fig 5.
Image reconstruction.
Fig 6.
Accuracy vs loss function (Red = Accuracy, Blue = Loss function).
Fig 7.
Performance metrics.
Table 3.
Performance analysis of proposed and other models.
Table 4.
T-test for proposed and 2nd-best model (Enhanced residual network [63]).
Fig 8.
Performance comparison of multi-classification with chest X-ray dataset.
Table 5.
Chest X-ray dataset performance comparison with various existing models.
Fig 9.
Performance comparison of multi-classification with IDC dataset.
Table 6.
IDC dataset performance comparison with various existing models.
Fig 10.
Performance comparison of multi-classification with COVID19-CT dataset.
Table 7.
COVID19-CT dataset performance comparison with various existing models.
Fig 11.
Performance comparison of multi-classification with ISIC2018 dataset.
Table 8.
ISIC2018 dataset performance comparison with various existing models.