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Table 3 Summary of the different CNN models that are trained on all datasets

From: Development of brain tumor radiogenomic classification using GAN-based augmentation of MRI slices in the newly released gazi brains dataset

Models

Optimizer

LR

Total number of parameters

InceptionV3

RMSprop

\(1 \times 10^{-4}\)

31, 240, 225

DenseNet201

RMSprop

\(1 \times 10^{-4}\)

30, 364, 481

MobileNetV2

RMSprop

\(1 \times 10^{-4}\)

12, 744, 001

Xception

RMSprop

\(1 \times 10^{-4}\)

37, 638, 953

EfficientNetV2S

RMSprop

\(1 \times 10^{-4}\)

30, 817, 377