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Medical analytics system

  • US 10,255,997 B2
  • Filed: 09/24/2018
  • Issued: 04/09/2019
  • Est. Priority Date: 07/12/2016
  • Status: Active Grant
First Claim
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1. A system, comprising:

  • at least one processor; and

    at least one memory including program code which when executed by the at least one processor provides operations comprising;

    projecting a three-dimensional image of a patient tissue into a plurality of two-dimensional grayscale images;

    applying at least one transformation algorithm to a first set of two-dimensional grayscale images to generate a first set of transformed two-dimensional grayscale images;

    applying at least one feature algorithm to at least one two-dimensional grayscale image and to each transformed two-dimensional grayscale images of the first set of transformed two-dimensional grayscale images;

    generating, based on the applying of the at least one feature algorithm to at least one two-dimensional grayscale image and to each transformed two-dimensional grayscale images, a plurality of feature values comprising a feature vector;

    projecting the three-dimensional image into a two-dimensional color image;

    applying at least one color transformation algorithm to a first set of two-dimensional color images to generate a first set of color-transformed two-dimensional grayscale images;

    applying at least one feature algorithm to at least one two-dimensional color image and to each color-transformed two-dimensional grayscale images;

    generating, based on the applying of the at least one feature algorithm to the at least one two-dimensional color image and to each of the transformed two-dimensional color images, a plurality of color feature values comprising the feature vector;

    collecting patient information;

    generating, based on the collected patient information, one or more patient values comprising the feature vector;

    training a machine learning model based on the feature vector and an associated diagnosis of the patient tissue, the machine learning model comprising a classifier having a weighted value assigned to each of the plurality of feature values, the plurality of color feature values, and the patient value.

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