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:
Nov. 16, 2021

Filed:

Nov. 02, 2017
Applicant:

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

Inventor:

Yao Nie, Sunnyvale, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 7/11 (2017.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6228 (2013.01); G06K 9/0014 (2013.01); G06K 9/469 (2013.01); G06K 9/6215 (2013.01); G06K 9/6223 (2013.01); G06K 9/6253 (2013.01); G06T 7/11 (2017.01); G06T 2207/10056 (2013.01); G06T 2207/20072 (2013.01); G06T 2207/30024 (2013.01);
Abstract

An image analysis system for analyzing biological specimen images is disclosed. The system may include: a superpixel generator configured to obtain a biological specimen image and group pixels of the biological specimen image into a plurality of superpixels; a feature extractor configured to extract, from each superpixel in the plurality of superpixels, a feature vector comprising a plurality of image features; a clustering engine configured to assign the plurality of superpixels to a predefined number of clusters, each cluster being characterized by a centroid vector of feature vectors of superpixels assigned to the cluster; and a storage interface configured to store, for each superpixel in the plurality of superpixels, clustering information identifying the one cluster to which the superpixel is assigned. The system may also include a graph engine configured construct a graph based on the stored information, and use the graph to perform a graph-based image processing task.


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