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:
Oct. 08, 2019

Filed:

Mar. 20, 2019
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Jiang Hsieh, Waukesha, WI (US);

Gopal Avinash, San Ramon, CA (US);

Saad Sirohey, Pewaukee, WI (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G16H 30/40 (2018.01); G16H 40/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G16H 30/40 (2018.01); G16H 40/40 (2018.01); G06T 2207/10004 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Methods and apparatus for monitoring and improving imaging system operation are provided. An example apparatus includes a first deployed deep learning network (DLN) which operates with an acquisition engine to generate an imaging device configuration. The example apparatus includes a second deployed DLN which operates with a reconstruction engine based on acquired image data. The example apparatus includes a first assessment engine with a third deployed DLN. The assessment engine receives output from at least one of the acquisition engine or the reconstruction engine to assess operation of the respective at least one of the acquisition engine or the reconstruction engine and to provide feedback to the respective at least one of the acquisition engine or the reconstruction engine. The first deployed DLN and the second deployed DLN are generated and deployed from first and second training DLNS, respectively.


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