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. 04, 2020

Filed:

Apr. 20, 2018
Applicant:

Ankon Technologies Co., Ltd., Wuhan, CN;

Inventors:

Wenjin Yuan, Wuhan, CN;

Hao Zhang, Wuhan, CN;

Hang Zhang, Wuhan, CN;

Xinhong Wang, San Diego, CA (US);

Xiaodong Duan, Pleasanton, CA (US);

Guohua Xiao, Plano, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/70 (2017.01); G06K 9/46 (2006.01); G06K 9/03 (2006.01); A61B 1/04 (2006.01); G06T 7/90 (2017.01); G06K 9/62 (2006.01); G06T 7/62 (2017.01); A61B 5/07 (2006.01); A61B 1/00 (2006.01); A61B 5/06 (2006.01); G06K 9/40 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); A61B 1/00009 (2013.01); A61B 1/041 (2013.01); A61B 5/065 (2013.01); A61B 5/073 (2013.01); G06K 9/036 (2013.01); G06K 9/40 (2013.01); G06K 9/4628 (2013.01); G06K 9/4647 (2013.01); G06K 9/4652 (2013.01); G06K 9/627 (2013.01); G06K 9/6267 (2013.01); G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06K 2209/05 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30096 (2013.01);
Abstract

A system and a method for preprocessing capsule endoscope images are provided. The capsule endoscopic image preprocessing system include an in vitro image removal module, an invalid image removal module, a digestive tract image classification module, a lesion and anatomical structure identification module, and a lesion and anatomical structure redundant image removal module. The capsule endoscopic image preprocessing system removes in vitro images and invalid images from capsule endoscopic images, classifies the capsule endoscopic images according to different parts of the digestive tract, identifies lesion and anatomical structures in the classified capsule endoscopic images; and removes redundant lesion and anatomical structure images according to the lesion and anatomical structures.


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