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:
Mar. 03, 2026

Filed:

Dec. 20, 2022
Applicant:

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

Inventors:

Jakub Jażdżyk, Cracow, PL;

László Ruskó, Budapest, HU;

Borbála Deák-Karancsi, Budapest, HU;

Vanda Czipczer, Budapest, HU;

Fei Mian, Libertyville, IL (US);

István Megyeri, Szeged, HU;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G16H 30/40 (2018.01); G06T 2207/10081 (2013.01);
Abstract

An automated post-processing tool to assess the quality of deep learning-based organ segmentation in medical images is described. According to an example, a method comprises determining, by a system comprising a processor, current values of defined features of respective segmentation masks generated for different anatomical structures included in medical image data via auto-segmentation of the medical image data. The method further comprises determining, by the system, respective measures of correspondence between the current values and corresponding reference values determined for the defined features, determining one or more measures of quality of the auto-segmentation based on the respective measures of correspondence, generating quality assessment report data for the auto-segmentation comprising the one or more measures of quality in standard format that can be displayed by standard clinical software.


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