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SMART PACS WORKFLOW SYSTEMS AND METHODS DRIVEN BY EXPLICIT LEARNING FROM USERS

机译:用户公开学习驱动的SMART PACS工作流系统和方法

摘要

Certain embodiments of the present invention provide methods and systems for determining a hanging protocol for display of clinical images in a study. Certain embodiments provide a machine learning hanging protocol analysis system. The example system includes an image processing module to process image data to provide one or more features. The example system includes a learning engine to receive processed image data and additional data to learn and adapt a hanging protocol for repeated use by applying one or more machine learning algorithms to the processed image data and additional data. The learning engine is to continue to refine an available selection of candidate layouts based on the processed image data and additional data to provide one or more layout choices for selection to form a hanging protocol for display of image and other data.
机译:本发明的某些实施例提供了用于确定用于在研究中显示临床图像的悬挂协议的方法和系统。某些实施例提供了一种机器学习挂起协议分析系统。该示例系统包括图像处理模块,以处理图像数据以提供一个或多个特征。示例系统包括学习引擎,该学习引擎通过将一种或多种机器学习算法应用于处理后的图像数据和附加数据来接收处理后的图像数据和附加数据,以学习和适应挂起协议以重复使用。学习引擎将基于已处理的图像数据和其他数据继续完善候选布局的可用选择,以提供一个或多个布局选择供选择,以形成用于显示图像和其他数据的悬挂协议。

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