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:
Feb. 22, 2022

Filed:

Jun. 02, 2017
Applicant:

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

Inventors:

Michael Barnes, Oro Valley, AZ (US);

Srinivas Chukka, San Jose, CA (US);

Bonnie LaFleur, Tucson, AZ (US);

Chang Xu, Tucson, AZ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G16H 50/30 (2018.01); G06K 9/62 (2006.01); G06K 9/00 (2006.01); G06T 7/12 (2017.01); G01N 33/574 (2006.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G01N 33/57415 (2013.01); G06K 9/00147 (2013.01); G06K 9/6265 (2013.01); G06T 7/12 (2017.01); G16H 50/30 (2018.01); G01N 2800/52 (2013.01); G01N 2800/54 (2013.01); G06T 7/11 (2017.01); G06T 2207/10056 (2013.01); G06T 2207/30024 (2013.01);
Abstract

The subject disclosure presents systems and computer-implemented methods for providing reliable risk stratification for early-stage cancer patients by predicting a recurrence risk of the patient and to categorize the patient into a high or low risk group. A series of slides depicting serial sections of cancerous tissue are automatically analyzed by a digital pathology system, a score for the sections is calculated, and a Cox proportional hazards regression model is used to stratify the patient into a low or high risk group. The Cox proportional hazards regression model may be used to determine a whole-slide scoring algorithm based on training data comprising survival data for a plurality of patients and their respective tissue sections. The coefficients may differ based on different types of image analysis operations applied to either whole-tumor regions or specified regions within a slide.


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