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. 14, 2022

Filed:

May. 11, 2021
Applicant:

Shenzhen Keya Medical Technology Corporation, Shenzhen, CN;

Inventors:

Xin Wang, Seattle, WA (US);

Youbing Yin, Kenmore, WA (US);

Bin Kong, Charlotte, NC (US);

Yi Lu, Seattle, WA (US);

Junjie Bai, Seattle, WA (US);

Zhenghan Fang, Shoreline, WA (US);

Qi Song, Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 6/03 (2006.01); G16H 50/20 (2018.01); A61B 6/00 (2006.01); A61B 5/00 (2006.01); G16H 10/60 (2018.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G16H 30/40 (2018.01); A61B 6/02 (2006.01);
U.S. Cl.
CPC ...
A61B 6/50 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 6/032 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G16H 10/60 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 6/025 (2013.01); G06T 2207/10076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30061 (2013.01);
Abstract

Embodiments of the disclosure provide methods and systems for determining a disease condition from a 3D image of a patient. The exemplary system may include a communication interface configured to receive the 3D image acquired of the patient by an image acquisition device. The system may further include a processor, configured to determine a 3D region of interest from the 3D image and apply a detection network to the 3D region of interest to determine the disease condition and a severity of the disease condition. The detection network is a multi-task learning network that determines the disease condition based on one or more lesion masks determined from the 3D region of interest and determines the severity of the disease condition from the 3D region of interest. The processor is further configured to provide a diagnostic output based on the disease condition and the severity of the disease condition.


Find Patent Forward Citations

Loading…