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:
Jun. 16, 2026

Filed:

May. 12, 2021
Applicant:

Ddh Inc., Seoul, KR;

Inventors:

Soo Bok Her, Seoul, KR;

Hak Kyun Shin, Seoul, KR;

Dong Yub Ko, Seoul, KR;

Assignee:

DDH INC., Seoul, KR;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 3/40 (2024.01); G06T 3/4053 (2024.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/187 (2017.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 3/40 (2013.01); G06T 3/4053 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/187 (2017.01); G16H 50/20 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20104 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30096 (2013.01); G06T 2210/41 (2013.01);
Abstract

A labeling method and a computing device by detecting lesion region in images using a learned network function. The method includes obtaining a medical image, detecting and displaying a region of interest corresponding to at least one subject disease through a learned network function, and labeling a lesion region corresponding to the at least one subject disease on the medical image according to the region of interest and user inputs. The labeling includes receiving a first user input for choosing a selected region within the region of interest, setting a reference pixel value based on the selected region, detecting and displaying a lesion estimation region having pixel values within a predetermined range from the reference pixel value, and correcting the lesion estimation region according to a second user input to label the lesion region.


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