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. 27, 2022

Filed:

Nov. 18, 2021
Applicant:

Paige.ai, Inc., New York, NY (US);

Inventors:

Ran Godrich, New York, NY (US);

Jillian Sue, New York, NY (US);

Leo Grady, Darien, CT (US);

Thomas Fuchs, New York, NY (US);

Assignee:

Paige.AI, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06N 20/00 (2019.01); G16H 50/20 (2018.01); G16H 70/60 (2018.01); G16H 40/20 (2018.01); G16H 10/40 (2018.01); G16H 30/40 (2018.01); G16H 70/20 (2018.01); G16B 40/20 (2019.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06K 9/6256 (2013.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G16B 40/20 (2019.02); G16H 10/40 (2018.01); G16H 30/40 (2018.01); G16H 40/20 (2018.01); G16H 70/20 (2018.01); G16H 70/60 (2018.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30204 (2013.01); G06V 2201/03 (2022.01); G06V 2201/04 (2022.01);
Abstract

An image processing method including identifying, using a machine learning system, an area of interest of a target image by analyzing microscopic features extracted from multiple image regions in the target image, the machine learning system being generated by processing a plurality of training images each comprising an image of human tissue and a diagnostic label characterizing at least one of a slide morphology, a diagnostic value, a pathologist review outcome, and an analytic difficulty; determining, using the machine learning system, a probability of a target feature being present in the area of interest of the target image based on an average probability; and determining, using the machine learning system, a prioritization value, of a plurality of prioritization values, of the target image based on the probability of the target feature being present in the target image.


Find Patent Forward Citations

Loading…