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:
Jul. 02, 2024

Filed:

Jan. 03, 2022
Applicant:

Shenzhen Keya Medical Technology Corporation, Shenzhen, CN;

Inventors:

Bin Kong, Charlotte, NC (US);

Youbing Yin, Kenmore, WA (US);

Xin Wang, Seattle, WA (US);

Yi Lu, Seattle, WA (US);

Haoyu Yang, Seattle, WA (US);

Junjie Bai, Seattle, WA (US);

Qi Song, Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/12 (2017.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06T 7/00 (2017.01); G06T 7/73 (2017.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06T 7/75 (2017.01); G06V 10/44 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30104 (2013.01); G06V 2201/03 (2022.01);
Abstract

Embodiments of the disclosure provide methods and systems for joint abnormality detection and physiological condition estimation from a medical image. The exemplary method may include receiving, by at least one processor, the medical image acquired by an image acquisition device. The medical image includes an anatomical structure. The method may further include applying, by the at least one processor, a joint learning model to determine an abnormality condition and a physiological parameter of the anatomical structure jointly based on the medical image. The joint learning model satisfies a predetermined constraint relationship between the abnormality condition and the physiological parameter.


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