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Systems and user interfaces for enhancement of data utilized in machine-learning based medical image review

机译:用于增强基于机器学习的医学图像检查中使用的数据的系统和用户界面

摘要

Systems and techniques are disclosed for improvement of machine learning systems based on enhanced training data. An example method includes generating an interactive classification user interface concurrently displaying a first group of medical images and a second group of medical images, each group depicting objects associated with a respective classification. User input indicating movement of medical images from the first group to the second group is detected. The moved medical images are classified according to the second group. The re-classified medical images are provided to a machine learning system, with the machine learning system updating based on analysis of object characteristics of the re-classified medical images to increase accuracies associated with automated assignment of classifications.
机译:公开了用于基于增强的训练数据来改进机器学习系统的系统和技术。示例方法包括生成交互式分类用户界面,该交互式分类用户界面同时显示第一组医学图像和第二组医学图像,每组描绘与相应分类相关联的对象。检测到指示医学图像从第一组移动到第二组的用户输入。根据第二组对移动的医学图像进行分类。重新分类的医学图像被提供给机器学习系统,其中机器学习系统基于对重新分类的医学图像的对象特征的分析来更新,以增加与分类的自动分配相关联的准确性。

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