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System and method for lesion analysis and recommendation of screening checkpoints for reduced risk of skin cancer

  • US 10,282,843 B2
  • Filed: 10/27/2016
  • Issued: 05/07/2019
  • Est. Priority Date: 10/27/2016
  • Status: Active Grant
First Claim
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1. A method for image analysis, comprising:

  • receiving one or more current images of a lesion from a body of a person, wherein the one or more current images are electronically captured by and transmitted from a capture device;

    analyzing the one or more current images of the lesion, wherein the analyzing comprises;

    performing image processing to compare the one or more current images of the lesion captured at a first time to one or more previous images of the lesion captured at a second time prior to the first time; and

    determining at least one difference between the one or more current images and the one or more previous images of the lesion based on the comparing;

    determining a probability that the lesion will become diseased based on the analysis; and

    recommending at least one of a time for a future image capture of the lesion and a consultation with a practitioner based on the determined probability;

    wherein the comparing is performed using a plurality of machine learning based engines;

    wherein a first machine learning based engine of the plurality of machine learning based engines processes an arithmetical difference between the one or more current images and the one or more previous images of the lesion;

    wherein a second machine learning based engine of the plurality of machine learning based engines processes a qualitative difference between the one or more current images and the one or more previous images of the lesion;

    wherein a third machine learning based engine of the plurality of machine learning based engines processes the outputs of first and second machine learning based engines to yield a combined result; and

    wherein the method is performed by at least one computer system comprising at least one memory and at least one processor coupled to the memory.

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