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Enhancing Super-Resolution Network Efficacy in CT Imaging: Cost-Effective Simulation of Training Data

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Deep learning-based Generative Models have the potential to convert low-resolution CT images into high-resolution counterparts without long acquisition times and increased radiation exposure in thin-slice CT imaging. However, procuring appropriate training dat... ...