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:
Feb. 24, 2026

Filed:

Nov. 13, 2020
Applicant:

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

Inventors:

Seshu Tirupathi, Dublin, IE;

Jonathan Peter Epperlein, Dublin, IE;

Pol Mac Aonghusa, Carbury, IE;

Rahul Nair, Dublin, IE;

Sergiy Zhuk, Dublin, IE;

Mykhaylo Zayats, Dublin, IE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06T 7/00 (2017.01); G16H 15/00 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01);
U.S. Cl.
CPC ...
G06F 18/24 (2023.01); G06N 20/00 (2019.01); G06T 7/0016 (2013.01); G16H 15/00 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G06T 2207/10036 (2013.01); G06T 2207/10064 (2013.01); G06T 2207/20076 (2013.01);
Abstract

Embodiments are provided for identification of a section of bodily tissue as either a candidate or a non-candidate for pathology tests. In some embodiments, a system can include a processor that executes computer-executable components stored in memory. The computer-executable components can include a feature composition component that generates a feature vector representing a physical model describing dye dynamics that determines a group of multispectral images of a section of bodily tissue. The computer-executable components also can include a classification component that generates a classification attribute for the section of bodily tissue by applying a classification model to the feature vector. The classification attribute designates the section of bodily tissue as one of biopsy-candidate or non-biopsy-candidate.


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