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NON-INVASIVE IN-VIVO TISSUE CLASSIFICATION USING NEAR-INFRARED MEASUREMENTS
NON-INVASIVE IN-VIVO TISSUE CLASSIFICATION USING NEAR-INFRARED MEASUREMENTS
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机译:使用近红外测量的非侵入性体内组织分类
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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.
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