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:
Apr. 04, 2023

Filed:

Mar. 18, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Nikolaos Papandreou, Thalwil, CH;

Sonali Andani, Zurich, CH;

Andreea Anghel, Adliswil, CH;

Milos Stanisavljevic, Adliswil, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06G 7/58 (2006.01); G16H 50/20 (2018.01); G06T 7/00 (2017.01); G16H 30/40 (2018.01); G06N 20/00 (2019.01); G01N 1/30 (2006.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 20/00 (2019.01); G06T 7/0014 (2013.01); G16H 30/40 (2018.01); G01N 1/30 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01); G06T 2210/12 (2013.01);
Abstract

The invention is notably directed to a computer-implemented method for normalizing medical images, e.g., whole slide images. This method includes steps performed for each image of a first subset of images of a dataset. Actual quantities are estimated for each image, including actual stain vectors and, possibly, robust maximum stain concentrations (typically hematoxylin and eosin stain vectors and concentrations). The actual quantities estimated are assessed by comparing them to reference data based on reference quantities estimated for one or more images of a second subset of images of the dataset, where the second subset of images differ from the first subset of images. The reference quantities include reference stain vectors. For each image, either the actual quantities or the reference quantities for the dataset are selected as effective quantities, based on an outcome of the previous assessment of the actual quantities. Each image is then normalized.


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