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:
May. 27, 2025

Filed:

Jul. 06, 2022
Applicant:

Shanghai United Imaging Intelligence Co., Ltd., Shanghai, CN;

Inventors:

Yikang Liu, Cambridge, MA (US);

Luojie Huang, Baltimore, MD (US);

Zhang Chen, Cambridge, MA (US);

Xiao Chen, Cambridge, MA (US);

Shanhui Sun, Cambridge, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/75 (2022.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06T 7/73 (2017.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06V 10/751 (2022.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/73 (2017.01); G06V 10/764 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Described herein are systems, methods, and instrumentalities associated with tracking groups of small objects in medical images. The tracking may be accomplished by, for each one of a sequence of medical images, determining a plurality of candidate objects captured in the medical image, grouping the plurality of candidate objects into a plurality of groups of candidate objects and dividing the medical image into a plurality of regions that each surrounds a corresponding group of candidate objects. Each of the plurality of regions may be examined to extract respective features associated with each corresponding group of candidate objects. A match between a first group of candidate objects in a first medical image and a second group of candidate objects in a second medical image may be determined based on first features associated with the first group and second features associated with the second group.


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