A reinforcement learning framework for parameter control in computer vision applications

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Reinforcement Learning in Healthcare: A Survey (2019, background): “structured data pertains to various processing and analysis tasks in medical image examination, such as feature extracting, image segmentation, and object detection/localization/tracing [247], [248].”
Reinforcement learning in computer vision (2018, unknown): “Many multi-step computer vision algorithms involve various parameters which should be chosen in an “optimal” way in each processing step of the computer vision procedures such as constructing membership functions in fuzzy image processing filters to represent “brightness” of a particular image [25],”