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. 21, 2023

Filed:

Apr. 07, 2020
Applicant:

Lunit Inc., Seoul, KR;

Inventors:

HyunJae Lee, Seoul, KR;

Hyo-Eun Kim, Seoul, KR;

Weonsuk Lee, Seoul, KR;

Assignee:

LUNIT INC., Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06N 20/20 (2019.01); G06T 5/50 (2006.01); G06V 10/82 (2022.01); G06N 3/045 (2023.01); G06V 10/774 (2022.01); G06V 10/44 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06N 3/045 (2023.01); G06N 20/20 (2019.01); G06T 5/50 (2013.01); G06V 10/44 (2022.01); G06V 10/7747 (2022.01); G06V 10/82 (2022.01); G06V 20/647 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30068 (2013.01);
Abstract

Provided is a method for training a neural network and a device thereof. The method may train a neural network with three-dimensional (3D) training image data including a plurality of two-dimensional (2D) training image data. The method may include training, at a processor, a first convolutional neural network (CNN) with the plurality of 2D training image data, wherein the first convolutional neural network comprises 2D convolutional layers. The method may further include training, at the processor, a second convolutional neural network with the 3D training image data, wherein the second convolutional neural network comprises the 2D convolutional layers and 3D convolutional layers configured to receive an output of the 2D convolutional layers as an input.


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