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:
Aug. 02, 2022

Filed:

Aug. 03, 2020
Applicant:

Ping an Technology (Shenzhen) Co., Ltd., Shenzhen, CN;

Inventors:

Ke Yan, Bethesda, MD (US);

Jinzheng Cai, Bethesda, MD (US);

Adam P Harrison, Bethesda, MD (US);

Dakai Jin, Bethesda, MD (US);

Le Lu, Bethesda, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06K 9/62 (2022.01); G06T 7/00 (2017.01); G16H 50/20 (2018.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G16H 30/40 (2018.01); G06V 10/20 (2022.01);
U.S. Cl.
CPC ...
G06K 9/6259 (2013.01); G06K 9/628 (2013.01); G06K 9/6292 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06V 10/255 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/30056 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/03 (2022.01);
Abstract

A method for performing a computer-aided diagnosis (CAD) for universal lesion detection includes: receiving a medical image; processing the medical image to predict lesion proposals and generating cropped feature maps corresponding to the lesion proposals; for each lesion proposal, applying a plurality of lesion detection classifiers to generate a plurality of lesion detection scores, the plurality of lesion detection classifiers including a whole-body classifier and one or more organ-specific classifiers; for each lesion proposal, applying an organ-gating classifier to generate a plurality of weighting coefficients corresponding to the plurality of lesion detection classifiers; and for each lesion proposal, performing weight gating on the plurality of lesion detection scores with the plurality of weighting coefficients to generate a comprehensive lesion detection score.


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