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Methods, systems and computer programs for processing computed tomographic image data of a component and for training a machine learning model

机译:用于处理组件的计算机断层图像数据的方法,系统和计算机程序和用于训练机器学习模型

摘要

The present invention relates to a method, a system and a computer program for processing computed tomographic image data / volume data of a component, as well as to a method, a system and a computer program for training a machine learning model. The method for processing computed tomographic image data of a component comprises obtaining the computed tomographic image data of the component. The method further comprises analyzing the computer graphic image data with the aid of one or more machine learning models. The one or more machine learning models are trained to classify the computer-graphic image data in one or more predetermined anomaly categories. The method further comprises a classification of the computed tomographic image data of the component in the one or more predetermined anomaly categories based on an output of the one or more machine learning models.
机译:本发明涉及一种用于处理组件的计算机断层图像数据/卷数据的方法,系统和计算机程序,以及用于训练机器学习模型的方法,系统和计算机程序。 用于处理组件的计算机断层图像数据的方法包括获取组件的计算断层图像数据。 该方法还包括借助于一个或多个机器学习模型分析计算机图形图像数据。 培训一个或多个机器学习模型,以在一个或多个预定的异常类别中对计算机图形图像数据进行分类。 该方法还包括基于一个或多个机器学习模型的输出的一个或多个预定的异常类别中的组件的计算断层图像数据的分类。

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