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. 07, 2023

Filed:

Oct. 21, 2022
Applicant:

Salesforce, Inc., San Francisco, CA (US);

Inventors:

Nikhil Naik, Palo Alto, CA (US);

Ali Madani, Palo Alto, CA (US);

Nitish Shirish Keskar, San Francisco, CA (US);

Assignee:

Salesforce, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G16H 50/20 (2018.01); G06N 5/04 (2023.01); G16H 10/20 (2018.01); G06N 20/00 (2019.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06F 18/217 (2023.01); G06F 18/2148 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06V 20/69 (2022.01); G16H 10/20 (2018.01); G16H 50/20 (2018.01); G06V 2201/03 (2022.01);
Abstract

An analytics system uses one or more machine-learned models to predict a hormone receptor status from a H&E stain image. The system partitions H&E stain images each into a plurality of non-overlapping image tiles. Bags of tiles are created through sampling of the image tiles. For each H&E stain image, the system generates a feature vector from a bag of tiles sampled from the partitioned image tiles. The analytics system trains one or more machine-learned models with training H&E stain images having a positive or negative receptor status. With the trained models, the analytics system predicts a hormone receptor status by applying a prediction model to the feature vector for a test H&E stain image.


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