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:
Aug. 20, 2024

Filed:

Apr. 12, 2022
Applicants:

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

Hoffmann-la Roche Inc., Little Falls, NJ (US);

Inventors:

Joerg Bredno, San Francisco, CA (US);

Astrid Heller, Penzberg, DE;

Gabriele Hoelzlwimmer, Penzberg, DE;

Assignees:

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

HOFFMANN-LA ROCHE INC., Little Falls, NJ (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06F 18/211 (2023.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06V 20/69 (2022.01); G02B 21/36 (2006.01); G06F 3/0354 (2013.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06F 18/211 (2023.01); G06T 7/0014 (2013.01); G06T 7/11 (2017.01); G06V 20/69 (2022.01); G06V 20/695 (2022.01); G02B 21/365 (2013.01); G06F 3/03545 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/20012 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30204 (2013.01); G06V 2201/031 (2022.01); G06V 2201/07 (2022.01);
Abstract

The subject disclosure presents systems and methods for automatically selecting meaningful regions on a whole-slide image and performing quality control on the resulting collection of FOVs. Density maps may be generated quantifying the local density of detection results. The heat maps as well as combinations of maps (such as a local sum, ratio, etc.) may be provided as input into an automated FOV selection operation. The selection operation may select regions of each heat map that represent extreme and average representative regions, based on one or more rules. One or more rules may be defined in order to generate the list of candidate FOVs. The rules may generally be formulated such that FOVs chosen for quality control are the ones that require the most scrutiny and will benefit the most from an assessment by an expert observer.


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