Method, system and computer program for processing computed tomography image data of component and training machine learning model

The invention relates to a method, a system and a computer program for processing computed tomography image data/volume data of a component and to a method, a system and a computer program for training a machine learning model. The method for processing computed tomography image data of a component includes obtaining computed tomography image data of the component. The method further comprises analyzing the computed tomography image data by means of one or more machine learning models. The one or more machine learning models are trained to classify computed tomography image data with one or more predetermined anomaly categories. The method further includes classifying computed tomography image data of the component with the one or more predetermined anomaly categories based on outputs of the one or more machine learning models. 本发明涉及一种用于处理构件的计算机断层扫描图像数据/体积数据的方法、系统和计算机程序以及一种用于训练机器学习模型的方法、系统和计算机程序。用于处理构件的计算机断层扫描图像数据的方法包括：获得构件的计算机断层扫描图像数据。该方法还包括：借助于一个或多个机器学习模型来分析计算机断层扫描图像数据。所述一个或多个机器学习模型被训练以一个或多个预先给定的异常类别来对计算机断层