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NON-INVASIVE IN-VIVO TISSUE CLASSIFICATION USING NEAR-INFRARED MEASUREMENTS

机译:使用近红外测量的非侵入性体内组织分类

摘要

There is disclosed a method of developing a classification model for classification of in vivo skin tissue samples comprising the steps of: providing a set of in vivo NIR spectral absorbance measurements (11) of skin tissue samples from a population of exemplary subjects; selecting (12) one or more features of interest within said spectral absorbance measurements wherein variation according to tissue type may be found; enhancing (13) said features of interest; extracting (14) at least one feature of interest relevant to classification; selecting factors (15) of said at least one extracted feature of interest related to structural and chemical properties and physiological state of said samples; defining classes (16, 17) for said tissue samples on the basis of structural and state similarity, wherein variation within a class is small compared to variation between classes; and assigning (18) class membership.
机译:公开了一种开发用于对体内皮肤组织样品进行分类的分类模型的方法,该方法包括以下步骤:提供一组来自示例性受试者的皮肤组织样品的体内NIR光谱吸光度测量值(11);和在所述光谱吸光度测量中选择(12)一个或多个关注特征,其中可以发现根据组织类型的变化;增强(13)感兴趣的特征;提取(14)与分类有关的至少一个感兴趣特征;与所述样品的结构和化学性质以及生理状态有关的所述至少一种提取的感兴趣特征的选择因子(15);根据结构和状态相似性为所述组织样品定义分类(16、17),其中与分类之间的变化相比,分类内的变化较小;并分配(18)类成员。

著录项

  • 公开/公告号IN206613B

    专利类型

  • 公开/公告日2007-05-04

    原文格式PDF

  • 申请/专利权人

    申请/专利号INPCT/2002/00940/KOL

  • 申请日2002-07-18

  • 分类号G01N23/25;

  • 国家 IN

  • 入库时间 2022-08-21 20:57:25

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