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:
Nov. 18, 2025

Filed:

Apr. 26, 2024
Applicants:

Coreline Soft Co., Ltd., Seoul, KR;

The Asan Foundation, Seoul, KR;

University of Ulsan Foundation for Industry Cooperation, Ulsan, KR;

Inventors:

Sang Min Lee, Seoul, KR;

Dong Hyun Yang, Seoul, KR;

Jin Kook Kim, Seoul, KR;

Jaeyoun Yi, Seoul, KR;

Donghoon Yu, Gimpo-si, KR;

Seung Lee Park, Seoul, KR;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/048 (2013.01); G06F 3/0482 (2013.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 11/00 (2006.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06F 3/0482 (2013.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 11/00 (2013.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Disclosed is an apparatus for assisting the reading of a medical image based on a medical artificial neural network, the apparatus including a computing system. An apparatus according to an embodiment of the present invention includes a computing system, and the computing system includes at least one processor. The at least one processor acquires or receives a first analysis result obtained through the inference of a first artificial neural network for a first medical image, generates a first visualization format, which is a representative visualization format of the first medical image, based on the first analysis result, and visualizes the first medical image and the first analysis result based on the first visualization format.


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