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MODALITY-AGNOSTIC METHOD FOR MEDICAL IMAGE REPRESENTATION

  • US 20190332900A1
  • Filed: 05/22/2018
  • Published: 10/31/2019
  • Est. Priority Date: 04/30/2018
  • Status: Active Grant
First Claim
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1. A computer implemented method for generating a modality-agnostic image processing model, the method comprising:

  • receiving imaging data from multiple imaging modalities;

    encoding the imaging data based on a defined data encoding, by mapping the imaging data to respective latent representations;

    fusing the encoded imaging data, by mapping the respective latent representations to a fused latent representation of the encoded imaging data, wherein the mapping conserves respective latent variables corresponding to a spatial representation of the respective latent representations;

    training a model for medical imaging processing, using the fused latent representation of the encoded imaging data; and

    outputting the trained model, the model adapted to produce an output from subsequent medical imaging data according to the training using the fused latent representation.

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