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Multiple landmark detection in medical images based on hierarchical feature learning and end-to-end training

  • US 10,210,613 B2
  • Filed: 05/10/2017
  • Issued: 02/19/2019
  • Est. Priority Date: 05/12/2016
  • Status: Active Grant
First Claim
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1. A method of deep learning for multiple landmark detection, the method comprising:

  • receiving a plurality of training images;

    training a first deep neural network at a first resolution of the training images, the training of the first deep neural network comprising;

    learning locations of a first plurality of landmarks; and

    learning the spatial relationships between the locations of the first plurality of landmarks;

    training a second deep neural network at a second resolution of the training images, the training of the second deep neural network comprising;

    learning locations of a second plurality of landmarks; and

    learning spatial relationships between the locations of the second plurality of landmarks;

    wherein the locations of the second plurality of landmarks are learnt at the second resolution based on the locations of the first plurality of landmarks at the first resolution.

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