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Morphology identification in tissue samples based on comparison to named feature vectors

机译:基于与命名特征向量比较的组织样本中的形态学识别

摘要

Locating morphology in a tissue sample is achieved with devices and methods involving storage of a plurality of feature vectors, each associated with a specific named superpixel of a larger image of a tissue sample from a mammalian body. A microscope outputs, in some embodiments, a live image of an additional tissue sample or a digitized version of the output is used. At least one superpixel of the image is converted into a feature vector and a nearest match between the first feature vector and the plurality of stored feature vectors is made. A first name suggestion is then made based on the nearest match comparison to a store feature vector. Further, regions of interest within the image can be brought to a viewer's attention based on their past history of selection, or that of others.
机译:利用涉及存储多个特征向量的装置和方法来实现在组织样本中的定​​位形态,每个特征向量与来自哺乳动物的组织样本的较大图像的特定命名的超像素相关联。在一些实施例中,显微镜输出使用附加组织样本的实时图像或输出的数字化版本。图像的至少一个超像素被转换成特征向量,并且在第一特征向量和多个存储的特征向量之间进行最接近的匹配。然后,基于与商店特征向量的最近匹配比较,提出名字建议。此外,可以基于图像的关注区域的过去或其他的选择历史来引起观看者的注意。

著录项

  • 公开/公告号US9870615B2

    专利类型

  • 公开/公告日2018-01-16

    原文格式PDF

  • 申请/专利权人 SCHWALB CONSULTING LLC;

    申请/专利号US201715653579

  • 发明设计人 EDWARD M SCHWALB;TAMMY APRIL SCHWALB;

    申请日2017-07-19

  • 分类号G06K9;G06T7;G06K9/48;G21K7;G06T11;G06K9/20;

  • 国家 US

  • 入库时间 2022-08-21 12:57:11

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