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:
Nov. 08, 2022

Filed:

Aug. 20, 2021
Applicant:

Shenzhen Keya Medical Technology Corporation, Shenzhen, CN;

Inventors:

Ruoping Li, Shenzhen, CN;

Pengfei Zhao, Shenzhen, CN;

Junhuan Li, Shenzhen, CN;

Bin Ouyang, Shenzhen, CN;

Yuwei Li, Bellevue, WA (US);

Kunlin Cao, Kenmore, WA (US);

Qi Song, Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06K 9/62 (2022.01); G06F 40/20 (2020.01); G16H 30/20 (2018.01); G16H 10/60 (2018.01); G06N 3/08 (2006.01); G06V 10/50 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06F 40/20 (2020.01); G06K 9/629 (2013.01); G06K 9/6217 (2013.01); G06K 9/6267 (2013.01); G06N 3/084 (2013.01); G06V 10/50 (2022.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30056 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30172 (2013.01); G06T 2207/30241 (2013.01); G06V 2201/031 (2022.01);
Abstract

The present disclosure relates to a medical image analysis method, a medical image analysis device, and a computer-readable storage medium. The medical image analysis method includes receiving a medical image acquired by a medical imaging device; determining a navigation trajectory by performing navigation processing on the medical image based on an analysis requirement, the analysis requirement indicating a disease to be analyzed; extracting an image block set along the navigation trajectory; extracting image features using a first learning network based on the image block set; and determining an analysis result using a second learning network based on the image features and the navigation trajectory.


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