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:
May. 06, 2025

Filed:

Sep. 18, 2020
Applicant:

Oslo Universitetssykehus, Oslo, NO;

Inventors:
Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2022.12); A61B 5/00 (2005.12); A61B 34/10 (2015.12); G06T 7/00 (2016.12); G06V 10/26 (2021.12); G06V 10/44 (2021.12); G06V 10/70 (2021.12); G06V 10/774 (2021.12); G06V 10/776 (2021.12); G06V 10/80 (2021.12); G06V 10/82 (2021.12); G06V 20/69 (2021.12); G06V 20/70 (2021.12); G06V 30/24 (2021.12); G16H 50/20 (2017.12);
U.S. Cl.
CPC ...
G06N 3/084 (2012.12); A61B 5/4848 (2012.12); A61B 34/10 (2016.01); G06T 7/0016 (2012.12); G06V 10/26 (2021.12); G06V 10/454 (2021.12); G06V 10/774 (2021.12); G06V 10/776 (2021.12); G06V 10/80 (2021.12); G06V 10/82 (2021.12); G06V 10/87 (2021.12); G06V 20/695 (2021.12); G06V 20/698 (2021.12); G06V 20/70 (2021.12); G06V 30/2504 (2021.12); G16H 50/20 (2017.12); G06T 2207/20021 (2012.12); G06T 2207/20081 (2012.12); G06T 2207/20084 (2012.12); G06T 2207/30024 (2012.12); G06V 2201/03 (2021.12);
Abstract

A computer implemented system for determining an overall-classifier for one or more source-histological-images. The system comprising: a first tile generator () configured to generate a plurality of first-tiles () from the one or more source-histological-image (); and a second tile generator () configured to generate a plurality of second-tiles () from the one or more source-histological-images (). The first-area of the first-tiles () is larger than the second-area of the second-tiles (); and the second-resolution of the second-tiles () is higher than the first-resolution of the first-tiles (). The system also includes a machine-learning network () configured to process the plurality of first-tiles () in order to determine a first-classifier (); a machine-learning network () configured to process the plurality of second-tiles () in order to determine a second-classifier (); and a classifier combiner configured to combine the first-classifier () and the second-classifier () to determine the overall-classifier ().


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