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Description of deep learning-based PET image reconstruction methods. A End-to-end methods are fully data-driven and do not require an instrument-based system matrix. B Regularisation-based methods utilise a neural network in combination with data consistency, retaining the system matrix. C Unrolling iterative algorithms into a sequence of processing steps makes it feasible to train iteration-specific regularisation terms
