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Methods, systems and use for detecting irregularities in medical images by means of a machine learning model

机译:通过机器学习模型检测医学图像中的不规则性的方法,系统和用途

摘要

A method for training a computer-implemented machine learning model for detecting irregularities in medical images, the method including: identifying at least one predetermined type of body region (14) depicted in a medical image (10), said body region (14) having a depicted irregularity (12); defining a plurality of image segments (20) each including at least part of the depicted body region (14), wherein a resolution of the image segments (20) is maintained or not reduced by more than 20% compared to the medical image (10); and using said image segments (20) to train a machine learning model to detect similar irregularities (12) in other medical images (10). Further, the invention relates to a use and to systems for training a computer-implemented machine learning model for detecting irregularities in medical images.
机译:一种培训用于检测医学图像中的不规则性的计算机实现的机器学习模型的方法,该方法包括:识别在医学图像中描绘的至少一种预定类型的体积( 14 )( 10 ),具有所描绘的不规则性的体区( 14 / b>)( 12 );定义多个图像段( 20 ),每个图像段包括所描绘的体区域( 14 )的至少一部分,其中图像段的分辨率( 20 < / b>)与医学图像相比,保持或不超过20%( 10 );并使用所述图像段( 20 )来训练机器学习模型,以检测其他医学图像中的类似不规则性( 12 )( 10 )。此外,本发明涉及用于训练计算机实现的机器学习模型的使用和系统,用于检测医学图像中的不规则性。

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