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. 07, 2026

Filed:

Oct. 04, 2023
Applicant:

City University of Hong Kong, Hong Kong, CN;

Inventors:

Irfan Ahmed, Hong Kong, CN;

Condon Lau, Hong Kong, CN;

Fraser Hill, Hong Kong, CN;

Wei Zhang, Hong Kong, CN;

Xinyue Li, Hong Kong, CN;

Duncan Hockley, Hong Kong, CN;

Wah Cheuk, Hong Kong, CN;

Tin Yan Elaine Cheung, Hong Kong, CN;

Chi Shing Cho, Hong Kong, CN;

Wing Lun Law, Hong Kong, CN;

Antonio Giuliano, Hong Kong, CN;

Daniela Hernandez Muguiro, Hong Kong, CN;

Yixuan Yuan, Hong Kong, CN;

Cheuk Ying Cherry Chan, Hong Kong, CN;

Wing Sze Kee, Hong Kong, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 7/0012 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30024 (2013.01);
Abstract

Methods and systems for pre-processing immunocytochemistry images for machine learning are provided. The pre-processing method includes receiving paired positive and negative multi-protein images and segmenting stains of the paired multi-protein images. The method also includes labelling each image pixel corresponding to a cell of the paired multi-protein images and translating image pixel information of the labelled image pixels to tabular form to generate a table of cell coordinates and geometrical characteristics for each of the paired multi-protein images. The method further includes generating two cell-paired tables for each of the paired multi-protein images based on Euclidean distance-based pairing prior to input for the machine learning, where the Euclidean distance-based pairing is based on the cell coordinates in the table of cell coordinates and geometrical characteristics for each of the paired multi-protein images.


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