Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity.

In mustGAN and cGAN, some elements had partially significant metrics ( p < 0.05), while others had p > 0.05, so mustGAN and cGAN showed modest improvements over POP-GAN (Full) for certain metrics but no consistent advantages across all measures.

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