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spiedigitallibrary.org
Black-box optimization of CT acquisition and reconstruction parameters: a reinforcement learning approach
Protocol optimization is critical in Computed Tomography (CT) for achieving desired diagnostic image quality while minimizing radiation dose. Due to the inter-effect of influencing CT parameters, traditional optimization methods rely on the testing of exhaustive combinations of these parameters. This poses a notable limitation due to the ...
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