Training policy search using reinforcement learning

Training policy search using reinforcement learning

In at least one embodiment, a reinforcement learning-based search method is used to generate a training configuration for a machine learning model. In at least one embodiment, 3D medical image segmentation is performed using learned image preprocessing parameters. 在至少一个实施例中，使用基于强化学习的搜索方法来产生用于机器学习模型的...

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Bibliographische Detailangaben
Hauptverfasser: ZHANG LING, YEUNG TINUNG ISAAC, XU DAGUANG, YANG DONG, ROSE, HENRY, R, XU ZILE, MILETARI, FRANCESCO
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Zusammenfassung:In at least one embodiment, a reinforcement learning-based search method is used to generate a training configuration for a machine learning model. In at least one embodiment, 3D medical image segmentation is performed using learned image preprocessing parameters. 在至少一个实施例中，使用基于强化学习的搜索方法来产生用于机器学习模型的训练配置。在至少一个实施例中，使用学习的图像预处理参数来执行3D医学图像分割。