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. 20, 2024

Filed:

Sep. 17, 2021
Applicant:

Korea University Research and Business Foundation, Seoul, KR;

Inventors:

Won-Ki Jeong, Seoul, KR;

Hyunsoo Lee, Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06T 5/00 (2006.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06N 20/20 (2019.01); G06T 5/002 (2013.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20216 (2013.01); G06T 2207/30024 (2013.01);
Abstract

A cell image segmentation method using scribble labels includes iteratively pre-training via an image segmentation network (U-Net) using a cell image and scribble labels indicating a cell region and a background region as training data, calculating an exponential moving average (EMA) of image segmentation prediction probabilities at a predetermined interval during the pre-training, self-training by assigning the cell region and the background region for which the EMA of image segmentation prediction probabilities is over a preset threshold to be a pseudo-label, and iteratively refining the image segmentation prediction probability based on a scribbled loss (L) obtained through a result of the training and an unscribbled loss (L). Accordingly, it is possible to achieve cell image segmentation with high reliability using only scribble labels.


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