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:
Dec. 31, 2024

Filed:

Feb. 09, 2022
Applicant:

GE Precision Healthcare Llc, Wauwatosa, WI (US);

Inventors:

Sylvain Bernard, Montigny le Bretonneux, FR;

Vincent Bismuth, Paris, FR;

Assignee:

GE Precision Healthcare LLC, Wauwatosa, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/02 (2006.01); A61B 6/50 (2024.01); G06T 7/00 (2017.01); G06T 11/00 (2006.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
A61B 6/025 (2013.01); A61B 6/502 (2013.01); G06T 7/0008 (2013.01); G06T 11/006 (2013.01); G16H 30/40 (2018.01); G06T 2207/20084 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30096 (2013.01);
Abstract

A convolutional neural network (CNN) is employed in an automated feature and/or anomaly detection system for analyzing images provided by X-ray imaging system. The automated detection system operates in a manner that reduces the number of full-resolution CNN convolution layers required in order to speed up the network inference and learning processes for the detection system. To do so, the detection system utilizes as an input a more compact representation of the tomographic data to alleviate the CNN memory footprint and computation time issues in prior art X-ray systems.


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