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. 23, 2026

Filed:

Oct. 23, 2023
Applicant:

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

Inventors:

Dattesh Dayanand Shanbhag, Bangalore, IN;

Deepa Anand, Bangalore, IN;

Rakesh Mullick, Bangalore, IN;

Sudhanya Chatterjee, Bangalore, IN;

Aanchal Mongia, Bangalore, IN;

Uday Damodar Patil, Bangalore, IN;

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 5/40 (2006.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0016 (2013.01); G06T 5/40 (2013.01); G06T 7/0012 (2013.01); G06T 7/0014 (2013.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01); G06T 2207/20084 (2013.01); G06T 2207/30096 (2013.01);
Abstract

A method for performing one-shot anatomy localization includes obtaining a medical image of a subject. The method includes receiving a selection of both a template image and a region of interest within the template image, wherein the template image includes one or more anatomical landmarks assigned a respective anatomical label. The method includes inputting both the medical image and the template image into a trained vision transformer model. The method includes outputting from the trained vision transformer model both patch level features and image level features for both the medical image and the template image. The method still further includes interpolating pixel level features from the patch level features for both the medical image and the template image. The method includes utilizing the pixel level features within the region of interest of the template image to locate and label corresponding pixel level features in the medical image.


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