Abstract: This study explores the optimization of loss functions in conditional Generative Adversarial Networks (cGANs), specifically the pix2pix model, for the deconvolution of astronomical images ...
Abstract: Deep learning models have the potential to improve the accuracy and speed of medical microwave imaging. However, their performance often suffers due to a lack of high-quality data.
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