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Aims and objectives

PET-CT has lead to drastic improvements in the detection, staging, and followup for cancer. However, producing high-quality PET tracers is expensive and requires cyclotrons and transportation infrastructure for delivery within a few hours. These factors significantly limit the impact of such devices, particularly in developing countries. Machine Learning has significantly improved in its ability to learn to recreate images using unsupervised methods on vast sets of training data. The approach called ‘Generative Adversarial Networks’(GANs), utilize generation and competition to increase the performance without requiring...