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Individual determination of breast compression in mammography with artificial intelligence

机译:人工智能在乳腺钼靶摄影中对乳房压迫的个体测定

摘要

A method for determining a patient-adapted breast compression during mammography is described. The procedure involves input data (ED),which individual personal data includes a patient. Furthermore, an adapted individual compression point (PPP) is obtained by applying a function (KNN),which has been trained by an algorithm based on machine learning, determined on the input data (ED), whereby the adjusted individual compression point (PPP) is generated as the output data (AD). A method for providing a trained function (KNN) is also described. In addition, a breast compression detection device (50) is described. In addition, a training facility (60) is described. Furthermore, the invention relates to a mammography system (10).
机译:描述了一种在乳房X光摄影期间确定患者适应的乳房压缩的方法。该程序涉及输入数据(ED),其中个人数据包括患者。此外,通过应用基于机器学习的算法训练的函数(KNN)获得自适应的单个压缩点(PPP),该函数根据输入数据(ED)确定,由此生成调整后的单个压缩点(PPP)作为输出数据(AD)。还描述了一种提供训练函数(KNN)的方法。此外,描述了一种乳房压缩检测装置(50)。此外,还描述了一种训练设施(60)。此外,本发明涉及乳房X光摄影系统(10)。

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