arXiv (OAI Expanded)
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Task-Based CT Protocol Optimization Using Reinforcement Learning and Virtual Imaging Trials
Protocol optimization in computed tomography (CT) aims to improve diagnostic image quality while reducing radiation dose, but the interdependence of acquisition and reconstruction parameters makes exhaustive testing impractical. We propose a virtual imaging trial framework with reinforcement learnin
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