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:
Dec. 16, 2025

Filed:

Sep. 01, 2021
Applicant:

Hoya Corporation, Tokyo, JP;

Inventor:

Takao Makino, Tokyo, JP;

Assignee:

HOYA CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 1/00 (2006.01); A61B 5/00 (2006.01); A61B 5/103 (2006.01); G06T 7/73 (2017.01); G06T 7/90 (2017.01); G16H 30/20 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0016 (2013.01); A61B 1/000094 (2022.02); A61B 5/1032 (2013.01); A61B 5/4842 (2013.01); G06T 7/74 (2017.01); G06T 7/90 (2017.01); G06T 2207/10024 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/30028 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01); G16H 30/20 (2018.01);
Abstract

A processor for an endoscope includes an image processing unit that obtains a severity of a lesion in which a degree of progression is represented by one value, wherein the image processing unit includes a feature amount calculation unit configured to calculate a first pixel evaluation value indicating a degree of a first feature of appearance appearing in a lesion part, a representative value calculation unit configured to calculate a first representative evaluation value by integrating the first pixel evaluation values, and an integration unit configured to adjust an influence degree of the first representative evaluation value indicating a change in the severity with respect to a change in the first representative evaluation value based on information on a color component of an image, and calculate the severity of the lesion based on at least the first representative evaluation value by using the adjusted influence degree.


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