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Ultrasound image recognition systems and methods utilizing an artificial intelligence network

机译:利用人工智能网络的超声图像识别系统和方法

摘要

Ultrasound image recognition systems and methods, and artificial intelligence training networks for such systems and methods, are provided. An ultrasound data information system includes an ultrasound image recognition training network that is configured to receive ultrasound training images and to develop ultrasound image knowledge based on the received ultrasound training images. An ultrasound imaging device acquires ultrasound images of a patient, and the device includes an ultrasound image recognition module. The ultrasound image recognition module is configured to receive the ultrasound image knowledge, receive the acquired ultrasound images from the ultrasound imaging device, and determine, based on the ultrasound image knowledge, whether the received ultrasound images represent a clinically desirable view of an organ or whether the clinically desirable views indicate normal function or a particular pathology. The received ultrasound images are transmitted to the ultrasound image recognition training network for further training and development of updated ultrasound image knowledge.
机译:提供超声图像识别系统和方法,以及这种系统和方法的人工智能训练网络。超声数据信息系统包括超声图像识别训练网络,其被配置为基于所接收的超声训练图像接收超声训练图像并开发超声图像知识。超声成像装置获取患者的超声图像,并且该设备包括超声图像识别模块。超声图像识别模块被配置为接收超声图像知识,从超声成像设备接收获取的超声图像,并基于超声图像知识确定接收的超声图像是否表示器官的临床期望的视图或是否临床期望的视图表示正常功能或特定病理学。接收的超声图像被发送到超声图像识别训练网络,以进一步培训和开发更新的超声图像知识。

著录项

  • 公开/公告号US10964424B2

    专利类型

  • 公开/公告日2021-03-30

    原文格式PDF

  • 申请/专利权人 ECHONOUS INC.;

    申请/专利号US201715454678

  • 申请日2017-03-09

  • 分类号G06T7;A61B8;A61B8/08;G06F3/0484;G16H30/20;G06K9/62;G16H50/20;G06K9/46;G16H30/40;

  • 国家 US

  • 入库时间 2024-06-14 21:23:28

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