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. 23, 2025

Filed:

Mar. 22, 2023
Applicant:

Ventana Medical Systems, Inc., Tucson, AZ (US);

Inventors:

Qinle Ba, San Mateo, CA (US);

Jim F. Martin, Mountain View, CA (US);

Satarupa Mukherjee, Fremont, CA (US);

Yao Nie, Sunnyvale, CA (US);

Xiangxue Wang, Cleveland Heights, OH (US);

Mohammadhassan Izady Yazdanabadi, Palo Alto, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 10/774 (2022.01); G06V 10/94 (2022.01); G06V 20/69 (2022.01); G06V 20/70 (2022.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06V 10/774 (2022.01); G06V 10/945 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); G06V 20/70 (2022.01); G06V 2201/03 (2022.01);
Abstract

Methods and systems can include: accessing a digital pathology image; generating, using a first machine-learning model, a segmented image that identifies at least: a predicted diseased region and a background region in the digital pathology image; detecting depictions of a set of cells in the digital pathology image; generating, using a second machine-learning model, a cell classification for each cell of the set of cells, wherein the cell classification is selected from a set of potential classifications that indicate which, if any, of a set of biomarkers are expressed in the cell; detecting that a subset of the set of cells are within the background region; and updating the cell classification for each cell of at least some cells in the subset to be a background classification that was not included in the set of potential classifications.


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