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. 21, 2025

Filed:

Oct. 13, 2021
Applicant:

Vuno Inc., Seoul, KR;

Inventors:

Hyunho Park, Seoul, KR;

Gwangbeen Park, Seoul, KR;

Seungho Lee, Seoul, KR;

Assignee:

VUNO Inc., Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2016.12); G06F 3/0482 (2012.12); G06T 7/11 (2016.12); G06T 7/62 (2016.12); G06V 20/40 (2021.12); G16H 15/00 (2017.12); G16H 30/40 (2017.12); G16H 50/20 (2017.12); G16H 50/70 (2017.12);
U.S. Cl.
CPC ...
G06T 7/0012 (2012.12); G06F 3/0482 (2012.12); G06T 7/0014 (2012.12); G06T 7/11 (2016.12); G06T 7/62 (2016.12); G06V 20/46 (2021.12); G16H 15/00 (2017.12); G16H 30/40 (2017.12); G16H 50/20 (2017.12); G16H 50/70 (2017.12); G06T 2200/24 (2012.12); G06T 2207/10016 (2012.12); G06T 2207/20081 (2012.12); G06T 2207/30064 (2012.12); G06V 2201/032 (2021.12);
Abstract

An embodiment of the present disclosure provides a method of providing a User Interface for serial images analysis in a user equipment, the method including: displaying a first cross-sectional image, a second cross-sectional image, and a third cross-sectional image on a first area of the user interface, which are related to a first image; displaying candidate nodule information related to the first image on at least one of the first cross-sectional image, the second cross-sectional image, and the third cross-sectional image; determining the candidate nodule information related to a user input as first nodule information related to the first image, based on the user input on the user interface; and displaying the first nodule information in such a way that the candidate nodule information related to the user input is replaced with the first nodule information, in which the candidate nodule information may be generated based on a first nodule dataset obtained by inputting the first image to a deep learning algorithm in a server.


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