The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 09, 2020

Filed:

Jan. 30, 2018
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Eric Michael Gros, Waukesha, WI (US);

David Erik Chevalier, Menomonee Falls, WI (US);

Assignee:

GENERAL ELECTRIC COMPANY, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06T 7/00 (2017.01); G06N 3/08 (2006.01); G16H 30/20 (2018.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06N 3/02 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06K 9/4628 (2013.01); G06K 9/6273 (2013.01); G06K 9/6274 (2013.01); G06N 3/084 (2013.01); G16H 30/20 (2018.01); G06K 9/6267 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01);
Abstract

Methods and systems are provided for capturing deep learning training data from imaging systems. In one embodiment, a method for an imaging system comprises performing a scan of a subject to acquire imaging data, inputting the imaging data to a deep neural network, displaying an output of the deep neural network and an image reconstructed from the imaging data, and transmitting an intermediate representation of the imaging data generated by the deep neural network to a server for training a central deep neural network. In this way, imaging data may be leveraged for training and developing global deep learning models without transmitting the imaging data itself, thereby preserving patient privacy.


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