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. 02, 2025

Filed:

Aug. 15, 2023
Applicant:

Olympus Corporation, Tokyo, JP;

Inventors:

Takeshi Arai, Musashino, JP;

Hideyuki Kasahara, Hamura, JP;

Masatoshi Iida, Hachioji, JP;

Shinji Yasunaga, Higashimurayama, JP;

Yoshitaka Honda, Hachioji, JP;

Kazue Tanaka, Sagamihara, JP;

Assignee:

OLYMPUS CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 18/04 (2006.01); A61B 18/14 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 17/00 (2006.01); A61B 18/00 (2006.01); G06V 10/70 (2022.01);
U.S. Cl.
CPC ...
A61B 5/0093 (2013.01); A61B 18/04 (2013.01); A61B 18/1445 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 2017/0042 (2013.01); A61B 2018/00577 (2013.01); A61B 2018/00702 (2013.01); A61B 2018/00791 (2013.01); A61B 2018/00898 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01); G06V 10/70 (2022.01);
Abstract

The system includes a memory that stores first and second trained models, and a processor. The processor acquires a captured image in which at least one energy device and at least one biological tissue are imaged. The processor detects a bounding box from the captured image by processing based on the first trained model and estimates the image recognition information from the captured image in the bounding box by processing based on the second trained model. The processor outputs an energy output adjustment instruction based on the estimated image recognition information to the generator. The generator controls the energy supply amount to the energy device based on the energy output adjustment instruction.


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