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:
Dec. 01, 2020

Filed:

Jun. 27, 2017
Applicant:

Konica Minolta Laboratory U.s.a., Inc., San Mateo, CA (US);

Inventors:

Yongmian Zhang, San Mateo, CA (US);

Jingwen Zhu, San Mateo, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06N 20/00 (2019.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6262 (2013.01); G06K 9/0014 (2013.01); G06K 9/00147 (2013.01); G06K 9/627 (2013.01); G06K 9/6215 (2013.01); G06K 9/6277 (2013.01); G06N 20/00 (2019.01); G06T 2207/30024 (2013.01);
Abstract

A method, a computer readable medium, and a system for cell annotation are disclosed. The method includes receiving at least one new cell image for cell detection; extracting cell features from the at least one new cell image; comparing the extracted cell features to a matrix of cell features of each class to predict a closest class, wherein the matrix of cell features has been generated from at least initial training data comprising at least one cell image; detecting cell pixels from the extracted cell features of the at least one new cell image using the predicted closest class to generate a likelihood map; extracting individual cells from the at least one cell image by segmenting the individual cells from the likelihood map; and performing a machine annotation on the extracted individual cells from the at least one new cell image to identify cells, non-cell pixels, and/or cell boundaries.


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