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System and Method for Automatic Detection, Localization, and Semantic Segmentation of Anatomical Objects

  • US 20190311478A1
  • Filed: 06/29/2017
  • Published: 10/10/2019
  • Est. Priority Date: 07/08/2016
  • Status: Active Grant
First Claim
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1. A method for automatic detection, localization, and segmentation of at least one anatomical object in a parameter space of an image generated by an imaging system, the method comprising:

  • providing the image of the anatomical object and surrounding tissue to a processor;

    developing and training a parameter space deep learning network comprising one or more convolutional neural networks to automatically detect the anatomical object and the surrounding tissue of the parameter space of the image;

    automatically locating and segmenting, via an additional convolutional neural network, the anatomical object and the surrounding tissue of the parameter space of the image;

    automatically labeling the anatomical object and the surrounding tissue on the image; and

    displaying the labeled image to a user.

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