TABLE 11.
Author | Method | Accuracy (%) |
---|---|---|
50 | Transfer learning | 93.48 |
51 | Deep CNN model | 92.40 |
48 | Modified deep CNN model | 91.40 |
49 | Xception based CNN model | 89.60 |
54 | Deep features plus SVM | 95.38 |
47 | Deep CNN model | 87.02 |
85 | Transfer learning | 95.00 |
86 | Deep CNN model | 95.00 |
87 | Transfer learning | 94.7 |
Proposed methodology | Classical and quantum ML with feature fusion and selection | 99.00 |