Table 7 Ablation study for ViT-GAN-SVM.

From: Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models

Learning rate

Learning Rate

Val. Acc (%)

PSNR (dB)

SSIM

0.0005

99.34

45.21

0.968

0.001 (baseline)

99.78

45.87

0.980

0.003

98.95

44.71

0.971

Weight Decay Ablation

Weight Decay

Val. Acc (%)

PSNR (dB)

SSIM

0

98.83

44.36

0.969

\(\:{10}^{-5}\)(baseline)

99.78

45.87

0.980

\(\:{10}^{-4}\)

99.15

44.98

0.972

GAN Latent Vector Ablation

Latent Dim

Val. Acc (%)

PSNR (dB)

SSIM

100

99.12

44.75

0.972

200 (baseline)

99.78

45.87

0.980

512

99.32

45.03

0.974

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