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Medical evaluation machine learning workflows and processes

机译:医疗评估机器学习工作流程和流程

摘要

Systems and methods for processing electronic imaging data obtained from medical imaging procedures are disclosed herein. Some embodiments relate to data processing mechanisms for medical imaging and diagnostic workflows involving the use of machine learning techniques such as deep learning, artificial neural networks, and related algorithms that perform machine recognition of specific features and conditions in imaging data. In an example, a deep learning model is selected for automated image recognition of a particular medical condition on image data, and applied to the image data to recognize characteristics of the particular medical condition. Based on the characteristics recognized by the automated image recognition on the image data, an electronic workflow for performing a diagnostic evaluation of the medical imaging study may be modified, updated, or prioritized.
机译:本文公开了用于处理从医学成像程序获得的电子成像数据的系统和方法。一些实施例涉及用于医学成像和诊​​断工作流程的数据处理机制,涉及使用诸如深度学习,人工神经网络和相关算法的机器学习技术,以执行成像数据中的特定特征和条件的机器识别的相关算法。在一个示例中,选择深度学习模型用于在图像数据上自动图像识别,并应用于图像数据以识别特定医疗条件的特征。基于通过图像数据的自动图像识别识别的特性,可以修改,更新或优先考虑用于执行医学成像研究的诊断评估的电子工作流程。

著录项

  • 公开/公告号US10937164B2

    专利类型

  • 公开/公告日2021-03-02

    原文格式PDF

  • 申请/专利权人 VIRTUAL RADIOLOGIC CORPORATION;

    申请/专利号US201816229297

  • 申请日2018-12-21

  • 分类号G06T7;G06K9/62;G06K9/46;G16H30/40;G16H40/20;G16H50/20;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 17:26:06

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