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. 05, 2023

Filed:

Apr. 27, 2022
Applicant:

Astrazeneca Computational Pathology Gmbh, Munich, DE;

Inventors:

Guenter Schmidt, Munich, DE;

Nicolas Brieu, Munich, DE;

Ansh Kapil, Munich, DE;

Jan Martin Lesniak, Munich, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06T 7/00 (2017.01); G06V 20/69 (2022.01); G06V 10/764 (2022.01); G06T 7/136 (2017.01); G06T 7/33 (2017.01); G06T 7/35 (2017.01); G01N 1/30 (2006.01); G06F 18/2413 (2023.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G01N 1/30 (2013.01); G06F 18/2414 (2023.01); G06T 7/0012 (2013.01); G06T 7/136 (2017.01); G06T 7/337 (2017.01); G06T 7/35 (2017.01); G06V 10/764 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); G01N 2800/52 (2013.01); G01N 2800/7028 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30242 (2013.01);
Abstract

A method for indicating how a cancer patient will respond to a predetermined therapy relies on spatial statistical analysis of classes of cell centers in a digital image of tissue of the cancer patient. The cell centers are detected in the image of stained tissue of the cancer patient. For each cell center, an image patch that includes the cell center is extracted from the image. A feature vector is generated based on each image patch using a convolutional neural network. A class is assigned to each cell center based on the feature vector associated with each cell center. A score is computed for the image of tissue by performing spatial statistical analysis based on classes of the cell centers. The score indicates how the cancer patient will respond to the predetermined therapy. The predetermined therapy is recommended to the patient if the score is larger than a predetermined threshold.


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