Table 4.

Model parameters of the networks trained.

S. No.	Network	Hyper Parameters	Total Number of Trainable Parameters
1	EfficientNet B0	Optimiser: Adam optimiser No. of epochs: 50 Learning rate: 0.001 Weight decay: 0.0001	1,729,176
2	Effimix Network	Optimiser: Adam optimiser No. of epochs: 50 Learning rate: 0.0001 Weight decay: 0.0001	5,288,548
3	Proposed feature fusion network	Optimiser: Adam optimiser No. of epochs: 100 Learning rate: 0.0001 Weight decay: 0.0001	7,041,276