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Unsupervised Deep Representation Learning for Fine-grained Body Part Recognition

  • US 20180060652A1
  • Filed: 08/29/2017
  • Published: 03/01/2018
  • Est. Priority Date: 08/31/2016
  • Status: Active Grant
First Claim
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1. A method for deep learning based fine-grained body part recognition in medical imaging data, comprising:

  • training a paired convolutional neural network (P-CNN) for slice ordering based on unlabeled training medical image volumes; and

    training a convolutional neural network (CNN) for fine-grained body part recognition by fine-tuning learned weights of the trained P-CNN for slice ordering.

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