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:
Jan. 13, 2026

Filed:

Feb. 11, 2022
Applicants:

University of Washington, Seattle, WA (US);

Seattle Children's Hospital, Seattle, WA (US);

Inventors:

Lingga Adidharma, Seattle, WA (US);

Randall Bly, Seattle, WA (US);

Christopher Young, Seattle, WA (US);

Blake Hannaford, Seattle, WA (US);

Ian Humphreys, Seattle, WA (US);

Al-Waleed M. Abuzeid, Seattle, WA (US);

Manuel Ferreira, Seattle, WA (US);

Kristen S. Moe, Seattle, WA (US);

Yangming Li, Rochester, NY (US);

Daniel King, Seattle, WA (US);

Assignees:

University of Washington, Seattle, WA (US);

Seattle Children's Hospital, Seattle, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/764 (2022.01); G06T 7/00 (2017.01); G06T 7/73 (2017.01); G06T 7/90 (2017.01); G06V 10/74 (2022.01); G06V 10/762 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/764 (2022.01); G06T 7/0012 (2013.01); G06T 7/73 (2017.01); G06T 7/90 (2017.01); G06V 10/761 (2022.01); G06V 10/762 (2022.01); G06V 10/82 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/20072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30012 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30056 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30168 (2013.01); G06V 2201/03 (2022.01);
Abstract

A method includes classifying, via a computational model, images of a source image stream as valid images or invalid images based on whether the images include biological tissue or a surgical tool; and generating a condensed image stream that includes the valid images. Another method includes classifying input images as valid images or invalid images using: a clustering algorithm that classifies each of the input images into either a first group or a second group and using labels that indicate whether the input images include a surgical tool. The method also includes training a computational model to identify the valid images based on whether the valid images include biological tissue or a surgical tool, or whether the valid images have at least a threshold level of clarity.


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