Deep learning architecture for automated image feature extraction

  • US 10,796,221 B2
  • Filed: 12/27/2017
  • Issued: 10/06/2020
  • Est. Priority Date: 10/19/2017
  • Status: Active Grant
First Claim
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1. A convolutional neural network system, comprising:

  • a memory that stores computer executable components;

    a processor that executes computer executable components stored in the memory, wherein the computer executable components comprise;

    a machine learning component that generates learned imaging output regarding imaging data based on a convolutional neural network that receives the imaging data, wherein the convolutional neural network comprises a plurality of sequential spring blocks in series with a plurality of parallel spring blocks, wherein a spring block comprises a sequence of downsampling layers in series with a corresponding sequence of upsampling layers.

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