SYSTEM AND METHOD FOR PREDICTING DEPTH IMAGE FOR MEDICAL IMAGE

Title:

SYSTEM AND METHOD FOR PREDICTING DEPTH IMAGE FOR MEDICAL IMAGE

Document Type and Number:

WIPO Patent Application WO/2023/113500

Kind Code:

A1

Abstract:

Disclosed are a system for predicting a depth image for a medical image and a control method thereof. A specific embodiment of the present technology involves segmenting a collected medical image and generating a three-dimensional medical image in the form of a three-dimensional volume, converting the generated three-dimensional medical image into a virtual medical image in a real space or a realistic space and then respectively deriving a virtual medical image and a depth image from the converted virtual medical image, training a neural network on the texture and color of the derived virtual medical image and converting an image domain, training the neural network on the domain-converted virtual medical image and outputting a depth image, and storing the pair of outputted depth image and virtual medical image as a correct answer image and building a learning model therefrom, so as to predict a depth image for an inputted medical image on the basis of a neural network based on a learning model, derive the location of a lesion accurately from a high-resolution depth image, and thereby increase the rate of diagnosing a lesion.

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Inventors:

SON YOUNG-DON (KR)
KIM HANG-KEUN (KR)
KANG CHANG-KI (KR)
JEONG BONG-HYUK (KR)

Application Number:

PCT/KR2022/020457

Publication Date:

June 22, 2023

Filing Date:

December 15, 2022

Export Citation:

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Assignee:

UNIV GACHON IND ACAD COOP FOUND (KR)

International Classes:

G06T7/50; G06T15/04; G06T17/20; G06T19/00; G16H30/00; G16H50/50

Foreign References:

KR101608848B1	2016-04-04
KR102245220B1	2021-04-27
KR101959438B1	2019-03-18
KR20150094080A	2015-08-19
JP6931425B2	2021-09-01

Attorney, Agent or Firm:

LEE, Un Cheol (KR)

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