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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.

Patent No.:

US 11666286 B1

PDFFull Text
Date of Patent:
Jun. 06, 2023

Filed:

Jun. 30, 2021

Classification of polyps using learned image analysis

Applicants:

Baylor Research Institute, Dallas, TX (US);

Wright State University, Dayton, OH (US);

Inventors:

Themistocles Dassopoulos, Dallas, TX (US);

Nikolaos Bourbakis, Dallas, TX (US);

Assignees:

BAYLOR RESEARCH INSTITUTE, Dallas, TX (US);

WRIGHT STATE UNIVERSITY, Dayton, OH (US);

Attorney:

Norton Rose Fulbright US LLP

Primary Examiner:

Ming Y Hon

Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 11/00 (2006.01); G06V 10/141 (2022.01); G06V 10/143 (2022.01); G06V 10/82 (2022.01); A61B 5/00 (2006.01); G16H 50/50 (2018.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); G06F 16/583 (2019.01); G06N 20/00 (2019.01); G06N 5/04 (2023.01); G06F 18/243 (2023.01); G06V 10/42 (2022.01); G06V 10/764 (2022.01); A61B 1/31 (2006.01); G06V 10/10 (2022.01);
U.S. Cl.
CPC ...
A61B 5/7267 (2013.01); G06F 16/583 (2019.01); G06F 18/24317 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06T 7/0014 (2013.01); G06T 11/001 (2013.01); G06V 10/141 (2022.01); G06V 10/143 (2022.01); G06V 10/431 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); A61B 1/31 (2013.01); G06T 2207/30004 (2013.01); G06V 10/16 (2022.01); G06V 2201/032 (2022.01);
Abstract

Computational techniques are applied to video images of polyps to extract features and patterns from different perspectives of a polyp. The extracted features and patterns are synthesized using registration techniques to remove artifacts and noise, thereby generating improved images for the polyp. The generated images of each polyp can be used for training and testing purposes, where a machine learning system separates two types of polyps.

Find Patent Forward Citations

Dassopoulos, Themistocles. (2023). Classification of polyps using learned image analysis (U.S. Patent No. 11666286). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11666286

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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