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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 11301991 B1

PDFFull Text
Date of Patent:
Apr. 12, 2022

Filed:

Jun. 10, 2016

Methods and systems for performing image analytics using graphical reporting associated with clinical images

Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Murray A. Reicher, Rancho Santa Fe, CA (US);

Jon T. DeVries, Cary, NC (US);

Michael W. Ferro, Jr., Chicago, IL (US);

Marwan Sati, Mississauga, CA;

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US);

Attorney:

Michael Best & Friedrich LLP

Primary Examiner:

Guillermo M Rivera-Martinez

Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/00 (2017.01); G16H 50/50 (2018.01); G16H 15/00 (2018.01); G16H 50/20 (2018.01); G06N 20/00 (2019.01); G06K 9/62 (2022.01); G06F 40/169 (2020.01); G06F 40/205 (2020.01); G16Z 99/00 (2019.01); G06V 30/194 (2022.01); A61B 5/00 (2006.01); G06F 3/0488 (2022.01); A61B 34/10 (2016.01); G06F 3/0482 (2013.01); A61B 10/02 (2006.01); G06T 11/00 (2006.01); G16H 30/20 (2018.01); G16H 10/20 (2018.01); G16H 20/10 (2018.01); A61B 5/01 (2006.01); A61B 5/055 (2006.01); A61B 5/318 (2021.01); A61B 90/00 (2016.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/7267 (2013.01); A61B 10/02 (2013.01); A61B 34/10 (2016.02); G06F 3/0482 (2013.01); G06F 3/0488 (2013.01); G06F 40/169 (2020.01); G06F 40/205 (2020.01); G06K 9/627 (2013.01); G06K 9/6227 (2013.01); G06K 9/6232 (2013.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06K 9/6269 (2013.01); G06N 20/00 (2019.01); G06T 7/0014 (2013.01); G06T 11/008 (2013.01); G06V 30/194 (2022.01); G16H 10/20 (2018.01); G16H 15/00 (2018.01); G16H 20/10 (2018.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16Z 99/00 (2019.02); A61B 5/0077 (2013.01); A61B 5/015 (2013.01); A61B 5/055 (2013.01); A61B 5/318 (2021.01); A61B 5/4312 (2013.01); A61B 5/441 (2013.01); A61B 2034/108 (2016.02); A61B 2090/373 (2016.02); A61B 2090/374 (2016.02); A61B 2090/378 (2016.02); A61B 2090/3762 (2016.02); G06T 2200/24 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30008 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30052 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30088 (2013.01); G06V 2201/031 (2022.01);
Abstract

Methods and systems for performing image analytics using graphical reporting associated with clinical images. One system includes at least one data source and a server. The server includes an electronic processor and an interface for communicating with the data source. The electronic processor is configured to receive training information from the at least one data source over the interface. The training information includes a plurality of images and graphical reporting associated with each of the plurality of images. Each graphical reporting includes a graphical marker designating a portion of one of the plurality of images and diagnostic information associated with the portion of the one of the plurality of images. The electronic processor is also configured to perform machine learning to develop a model using the training information. The model is used to automatically analyze an image.

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