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:
Oct. 10, 2023

Filed:

Mar. 07, 2018
Applicant:

Verily Life Sciences Llc., South San Francisco, CA (US);

Inventors:

Martin Stumpe, Mountain View, CA (US);

Philip Nelson, Mountain View, CA (US);

Lily Peng, Mountain View, CA (US);

Assignee:

VERILY LIFE SCIENCES LLC, South San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06V 20/69 (2022.01); G16H 30/40 (2018.01); G01N 1/30 (2006.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 11/00 (2006.01); G06F 18/214 (2023.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 20/69 (2022.01); G01N 1/30 (2013.01); G06F 18/214 (2023.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06T 11/001 (2013.01); G06V 10/82 (2022.01); G06V 20/695 (2022.01); G16H 30/40 (2018.01); G01N 2001/302 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01); G06T 2210/41 (2013.01); G06V 2201/03 (2022.01);
Abstract

A machine learning predictor model is trained to generate a prediction of the appearance of a tissue sample stained with a special stain such as an IHC stain from an input image that is either unstained or stained with H&E. Training data takes the form of thousands of pairs of precisely aligned images, one of which is an image of a tissue specimen stained with H&E or unstained, and the other of which is an image of the tissue specimen stained with the special stain. The model can be trained to predict special stain images for a multitude of different tissue types and special stain types, in use, an input image, e.g., an H&E image of a given tissue specimen at a particular magnification level is provided to the model and the model generates a prediction of the appearance of the tissue specimen as if it were stained with the special stain. The predicted image is provided to a user and displayed, e.g., on a pathology workstation.


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