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:
Sep. 17, 2024

Filed:

Oct. 18, 2019
Applicant:

Takeda Pharmaceutical Company Limited, Osaka, JP;

Inventors:

Uday Veer Manish Bangia, Cambridge, MA (US);

Elliot Greenblatt, Cambridge, MA (US);

Daniel Alexander Leffler, Newton, MA (US);

Jenifer R. Q. W. Siegelman, Newton, MA (US);

Ozlem Nurcan Yardibi, Wayland, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06F 16/383 (2019.01); G06F 18/21 (2023.01); G06T 7/12 (2017.01); G06T 7/13 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06F 16/383 (2019.01); G06F 18/21 (2023.01); G06T 7/12 (2017.01); G06T 7/13 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/10068 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/30028 (2013.01); G06T 2207/30092 (2013.01);
Abstract

Disclosed herein are computer-implemented method, system, and computer-program product (computer-readable storage medium) embodiments of image scoring for intestinal pathology. An embodiment includes receiving, via at least one processor, an output of an imaging device. The output of the imaging device may include a plurality of image frames forming at least a subset of a set of image frames depicting an inside surface of a digestive organ of a given patient; and decomposing, via at least one machine learning (ML) algorithm, at least one image frame of the plurality of image frames into a plurality of regions of interest. The at least one region of interest may be defined by determining that an edge value exceeds a predetermined threshold. At least one processor may automatically assign a first score based at least in part on the edge value for each region of interest and automatically shuffle the set of image frames.


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