Table 1.

summarizes the parameters used in neural network architectures employed

Model	Epochs	Learning rate	Optimizer	Loss function	Parameters (in millions)
Custom CNN	40	1e-3 to 1e-4	Adam	Sparse categorical cross entropy	2.2 (X-ray) 3.6 (CT)
EfficientNetB0	40	1e-4	Adam	Binary cross entropy	5.3
VGG-16	40	1e-4	Adam	Binary cross entropy	138
ResNet-50	40	1e-4	Adam	Binary cross entropy	25.6