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:
Jul. 07, 2020

Filed:

Sep. 08, 2017
Applicant:

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

Inventors:

Nuri Murat Arar, Lausanne, CH;

Maria Gabrani, Thalwil, CH;

Govind Kaigala, Rueschlikon, CH;

Aditya Kashyap, Zurich, CH;

Anna Fomitcheva Khartchenko, Zurich, CH;

Pushpak Pati, Rueschlikon, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06K 9/03 (2006.01); G06T 7/194 (2017.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G01N 1/30 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06K 9/0014 (2013.01); G06K 9/00147 (2013.01); G06K 9/036 (2013.01); G06K 9/4647 (2013.01); G06K 9/6256 (2013.01); G06T 7/194 (2017.01); G01N 1/30 (2013.01); G06K 9/6298 (2013.01); G06T 2200/24 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30204 (2013.01);
Abstract

The invention relates to the automated determination of the staining quality of an IHC stained biological sample. A plurality of features is extracted from a digital IHC stained tissue image. The features are input into a first classifier configured to identify the extended tissue type of the depicted tissue as a function of the extracted features. An extended tissue type is a tissue type with a defined expression level of the tumor marker. In addition, the extracted features are input into a second classifier configured to identify a contrast level of the depicted tissue as a function of at least some second ones of the extracted features. The contrast level indicates the intensity contrast of pixels of the stained tissue. Then, a staining quality score of the image is computed as a function of the identified extended tissue type and the identified contrast level.


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