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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 11087864 B1

PDFFull Text
Date of Patent:
Aug. 10, 2021

Filed:

Dec. 01, 2018

Systems and methods for automatically tagging concepts to, and generating text reports for, medical images based on machine learning

Applicant:

Petuum Inc., Pittsburgh, PA (US);

Inventors:

Pengtao Xie, Pittsburgh, PA (US);

Eric Xing, Pittsburgh, PA (US);

Assignee:

PETUUM INC., Pittsburgh, PA (US);

Attorney:
Primary Examiner:

Andrew W Johns

Int. Cl.
CPC ...
G16H 50/20 (2018.01); G16H 15/00 (2018.01); G06K 9/46 (2006.01); G16H 20/10 (2018.01); G16H 10/60 (2018.01); G06N 20/00 (2019.01); G16B 40/00 (2019.01); G16H 70/60 (2018.01); G06N 3/08 (2006.01); G16H 30/40 (2018.01); G06K 9/62 (2006.01); G06T 7/00 (2017.01); G06F 16/36 (2019.01); H04L 29/08 (2006.01); G06F 40/284 (2020.01); G16H 50/70 (2018.01); G16B 50/00 (2019.01); G06K 9/72 (2006.01);
U.S. Cl.
CPC ...
G16H 20/10 (2018.01); G06F 16/36 (2019.01); G06F 40/284 (2020.01); G06K 9/46 (2013.01); G06K 9/6228 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G16B 40/00 (2019.02); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 70/60 (2018.01); H04L 67/104 (2013.01); G06K 9/628 (2013.01); G06K 9/726 (2013.01); G06K 2209/05 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G16B 50/00 (2019.02); G16H 50/70 (2018.01);
Abstract

A system for assigning concepts to a medical image includes a visual feature module and a tagging module. The visual feature module is configured to obtain an image feature vector from the medical image. The tagging module is configured to apply a machine-learned algorithm to the image feature vector to assign a set of concepts to the image. The system may also include a text report generator that is configured to generate a written report describing the medical image based on the set of concepts assigned to the medical image.

Find Patent Forward Citations

Xie, Pengtao. (2021). Systems and methods for automatically tagging concepts to, and generating text reports for, medical images based on machine learning (U.S. Patent No. 11087864). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11087864

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

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