Abstract: This paper presents a deep learning-based method for automated projection image quality inspection. Traditional inspection relies on manual visual evaluation, which is timeconsuming, ...
Abstract: One of the key challenges that Reinforcement Learning (RL) faces is its limited capability to adapt to a change of data distribution caused by uncertainties. This challenge arises especially ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
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