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. 21, 2018

Filed:

Mar. 31, 2016
Applicants:

Mayo Foundation for Medical Education and Research, Rochester, MN (US);

Arizona Board of Regents on Behalf of Arizona State University, Scottsdale, AZ (US);

Inventors:

Nima Tajbakhsh, Tempe, AZ (US);

Suryakanth R. Gurudu, Phoenix, AZ (US);

Jianming Liang, Phoenix, AZ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06T 1/00 (2006.01); G06T 7/40 (2017.01); A61B 6/02 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06T 1/0007 (2013.01); G06T 7/40 (2013.01); A61B 2576/02 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/30032 (2013.01);
Abstract

A system and methods for detecting polyps using optical images acquired during a colonoscopy. In some aspects, a method includes receiving the set of optical images from the input and generating polyp candidates by analyzing the received set of optical images. The method also includes generating a plurality of image patches around locations associated with each polyp candidate, applying a set of convolutional neural networks to the corresponding image patches, and computing probabilities indicative of a maximum response for each convolutional neural network. The method further includes identifying polyps using the computed probabilities for each polyp candidate, and generating a report indicating identified polyps.


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