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Patent Searching and Data


Title:
LEARNING METHOD FOR GENERATING MULTIPHASE COLLATERAL IMAGE AND MULTIPHASE COLLATERAL IMAGE GENERATING METHOD USING MACHINE LEARNING
Document Type and Number:
WIPO Patent Application WO/2020/197233
Kind Code:
A3
Abstract:
Disclosed are a learning method for generating a multiphase collateral image, which can be used in the diagnosis and prognosis determination of various cerebrovascular diseases such as stroke, and a multiphase collateral image generating method using machine learning. The disclosed learning method for generating a multiphase collateral image comprises the steps of: receiving inputs of an MRI image of a head part and a multiphase collateral image generated on the basis of the MRI image; generating a brain mask by using the MRI image; generating an MRI image and a multiphase collateral image which are masked by the brain mask; and learning the masked multiphase collateral image for the masked MRI image by using a learning network.

Inventors:
KWAK JIN TAE (KR)
MINH NGUYEN NHAT TO (KR)
KIM HYUN JEONG (KR)
ROH HONG GEE (KR)
Application Number:
PCT/KR2020/003981
Publication Date:
November 19, 2020
Filing Date:
March 24, 2020
Export Citation:
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Assignee:
UNIV SEJONG IND ACAD COOP FOUD (KR)
CATHOLIC UNIV KOREA IND ACADEMIC COOPERATION FOUNDATION (KR)
KONKUK UNIV GLOCAL IND ACADEMIC COLLABORATION FOUND (KR)
International Classes:
A61B5/00; A61B5/026
Foreign References:
KR20190028901A2019-03-20
KR101885998B12018-08-06
KR101754291B12017-07-06
US20100067761A12010-03-18
KR20150128471A2015-11-18
Attorney, Agent or Firm:
MIN, Young Joon (KR)
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