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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 12094082 B1

PDFFull Text
Date of Patent:
Sep. 17, 2024

Filed:

Jun. 09, 2021

Image processing apparatus, image processing method and computer-readable medium

Applicant:

Canon Kabushiki Kaisha, Tokyo, JP;

Inventors:

Tomoyuki Makihira, Tokyo, JP;

Hiroki Uchida, Tokyo, JP;

Ritsuya Tomita, Kanagawa, JP;

Assignee:

CANON KABUSHIKI KAISHA, Tokyo, JP;

Attorney:

Carter, DeLuca & Farrell LLP

Primary Examiner:

Avinash Yentrapati

Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06T 5/00 (2006.01); G06T 7/00 (2017.01); G06T 11/00 (2006.01); G06T 11/60 (2006.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G06T 5/00 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/0014 (2013.01); G06T 11/001 (2013.01); G06T 11/60 (2013.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G06T 2207/10101 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30041 (2013.01); G06T 2210/41 (2013.01);
Abstract

An image processing apparatus includes: an obtaining unit configured to obtain a first medical image of an object under examination; an image quality improving unit configured to generate, from the obtained first medical image, a second medical image with image quality higher than image quality of the obtained first medical image using a learned model; a comparing unit configured to compare an analysis result obtained by analyzing the obtained first medical image and an analysis result obtained by analyzing the generated second medical image; and a display controlling unit configured to cause a comparison result obtained by the comparing unit to be displayed on a display unit.

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