Explain how you would modify the training loss function of your GAN to prioritize capturing fine-grained details in medical images, and discuss any tradeoffs involved.

Replace mean squared error with a loss function that explicitly encourages the model to pay attention to less prominent features, such as the L1 or L2 norm. This change will likely increase training time but provide more accurate results for fine-grained details at the cost of potentially increased false positives.