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Classifying image features

  • US 8,639,043 B2
  • Filed: 08/31/2012
  • Issued: 01/28/2014
  • Est. Priority Date: 01/27/2005
  • Status: Active Grant
First Claim
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1. A method for assessing a biological sample, the method comprising using one or more electronic processors to perform the following steps:

  • decomposing a set of n spectral images of the sample into a set of m unmixed images, wherein each member of the unmixed image set corresponds to a spectral contribution from a different component in the sample, and wherein n≧

    4; and

    classifying spatial locations in the sample corresponding to pixels in the set of unmixed images based on an image stack comprising one or more members of the set of unmixed images to assess whether each spatial location corresponds to one or more of p classes.

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