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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.

Patent No.:

US 11901077 B1

PDFFull Text
Date of Patent:
Feb. 13, 2024

Filed:

Jul. 15, 2021

Multiple instance learner for prognostic tissue pattern identification

Applicant:

Hoffmann-la Roche Inc., Little Falls, NJ (US);

Inventors:

Eldad Klaiman, Penzberg, DE;

Jacob Gildenblat, Holon, IL;

Assignee:

HOFFMANN-LA ROCHE INC., Little Falls, NJ (US);

Attorney:

HARNESS, DICKEY & PIERCE, P.L.C.

Primary Examiner:

Neil R McLean

Int. Cl.
CPC ...
G16H 15/00 (2018.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); G06F 3/0482 (2013.01); G06V 20/69 (2022.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/40 (2023.01); G06F 18/21 (2023.01); G06V 10/762 (2022.01); G06V 10/774 (2022.01); G06V 10/80 (2022.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06F 3/0482 (2013.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/2163 (2023.01); G06F 18/22 (2023.01); G06F 18/40 (2023.01); G06V 10/454 (2022.01); G06V 10/763 (2022.01); G06V 10/774 (2022.01); G06V 10/809 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); G16H 30/40 (2018.01); G06V 2201/03 (2022.01);
Abstract

The method includes receiving digital images of tissue samples of patients, the images having assigned a label indicating a patient-related attribute value; splitting each received image into a set of image tiles; computing a feature vector for each tile; training a Multiple-Instance-Learning program on all the tiles and respective feature vectors for computing for each of the tiles a numerical value being indicative of the predictive power of the feature vector associated with the tile in respect to the label of the tile's respective image; and outputting a report gallery including tiles sorted in accordance with their respectively computed numerical value and/or including a graphical representation of the numerical value.

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