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SYSTEM AND METHOD FOR MULTICLASS CLASSIFICATION OF IMAGES USING A PROGRAMMABLE LIGHT SOURCE

机译:使用可编程光源对图像进行多类分类的系统和方法

摘要

An apparatus, system and process for identifying one or more different tissue types are described. The method may include applying a configuration to one or more programmable light sources of an imaging system, where the configuration is obtained from a machine learning model trained to distinguish between the one or more different tissue types captured in image data. The method may also include illuminating a scene with the configured one or more programmable light sources, and capturing image data that includes one or more types of tissue depicted in the image data. Furthermore, the method may include analyzing color information in the captured image data with the machine learning model to identify at least one of the one or more different tissue types in the image data, and rendering a visualization of the scene from the captured image data that visually differentiates tissue types in the visualization.
机译:描述了一种用于识别一种或多种不同组织类型的设备,系统和过程。该方法可以包括将配置应用于成像系统的一个或多个可编程光源,其中该配置是从机器学习模型获得的,该机器学习模型被训练以区分图像数据中捕获的一种或多种不同组织类型。该方法还可以包括:使用配置的一个或多个可编程光源照射场景;以及捕获包括在图像数据中描绘的一种或多种类型的组织的图像数据。此外,该方法可以包括:利用机器学习模型来分析所捕获的图像数据中的颜色信息,以识别图像数据中的一种或多种不同组织类型中的至少一种;以及根据所捕获的图像数据来呈现场景的可视化,在可视化中直观地区分组织类型。

著录项

  • 公开/公告号EP3589182A1

    专利类型

  • 公开/公告日2020-01-08

    原文格式PDF

  • 申请/专利权人 VERILY LIFE SCIENCES LLC;

    申请/专利号EP20180703172

  • 发明设计人 GANAPATI VIDYA;REPHAELI EDEN;

    申请日2018-01-22

  • 分类号A61B1;A61B5;A61B1/04;A61B1/06;G02B23/24;G06F15/18;G06N99;

  • 国家 EP

  • 入库时间 2022-08-21 11:38:07

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