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. 25, 2020

Filed:

Feb. 12, 2018
Applicants:

Amit Sethi, Palatine, IL (US);

Neeraj Kumar, Chicago, IL (US);

Inventors:

Amit Sethi, Palatine, IL (US);

Neeraj Kumar, Chicago, IL (US);

Assignee:

Other;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G16H 50/20 (2018.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G16H 30/40 (2018.01); G06N 20/10 (2019.01); G06N 5/00 (2006.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G06K 9/4671 (2013.01); G06K 9/628 (2013.01); G06K 9/6267 (2013.01); G06K 9/6277 (2013.01); G06N 3/08 (2013.01); G16H 50/20 (2018.01); G06K 2209/05 (2013.01); G06K 2209/051 (2013.01); G06K 2209/053 (2013.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06T 2207/10056 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Systems, methods and devices for determination of disease class scores for patient tissue are disclosed. The disease class scores may be based on the probability or probability-like metric for a disease condition or outcome. The system includes an imaging apparatus and a computing system with instructions executable by a processor. The computer system may locate one or more points-of-interest on the pre-processed images of the patient tissue using a point-of-interest detector and generate one or more disease spatial maps including one or more probability or probability-like metric of disease classifications on the detected points-of-interest. The information in the disease spatial maps is aggregated to produce disease class scores.


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