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:
Sep. 08, 2026

Filed:

Mar. 26, 2024
Applicant:

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

Inventors:

Hongxu Yang, Helmond, NL;

Xiaomeng Dong, Pleasanton, CA (US);

Pál Tegzes, Budapest, HU;

Zoltán Kiss, Budapest, HU;

Najib Akram Maheen Aboobacker, Waukesha, WI (US);

Lehel Mihály Ferenczi, Budapest, HU;

Gopal Avinash, San Ramon, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/60 (2024.01); G06T 5/10 (2006.01); G06T 11/60 (2026.01);
U.S. Cl.
CPC ...
G06T 5/60 (2024.01); G06T 5/10 (2013.01); G06T 11/60 (2013.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/30004 (2013.01); G06T 2210/41 (2013.01);
Abstract

Medical image enhancement processing techniques are described that employ an artificial intelligence (AI) model with editable output image appearance control. An example, computer-implemented method comprises generating a transformed version of a medical image via execution of an AI transformation model on the medical image, wherein the AI transformation model comprises a neural network that predicts values of parameters of a transformation function based on processing the medical image, or a down sampled version thereof, via the neural network, and a transformation module that generates the transformation function using the values and applies the transformation function to the medical image, resulting in generation of the transformed version of the medical image. The AI transformation model comprises an editable output image appearance control functionality that enables a user to control and edit the transformation operations performed by the transformation function on the medical image in association with viewing the results in real-time.


Find Patent Forward Citations

Loading…