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Patent Searching and Data


Title:
METHOD FOR PREDICTING CALCIUM SCORE AND DISEASE
Document Type and Number:
WIPO Patent Application WO/2021/162490
Kind Code:
A3
Abstract:
The present disclosure relates to a deep learning-based method for predicting a calcium score or a cardiovascular disease by using a chest X-ray image, wherein the method may comprise: obtaining an X-ray image of an object, a capturing viewpoint of the X-ray image, and identification information of the object to obtain a calcium score (coronary artery calcium score (CACS)) of the object and disease information of the object; matching the calcium score of the object and the disease information of the object to generate a training data set; and training a prediction model that predicts a calcium score or a disease on the basis of the generated training data set.

Inventors:
KWON JOON MYOUNG (KR)
Application Number:
PCT/KR2021/001849
Publication Date:
September 30, 2021
Filing Date:
February 10, 2021
Export Citation:
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Assignee:
BODYFRIEND CO LTD (KR)
MEDICAL AI (KR)
International Classes:
A61B6/00; A61B5/00; G06N3/04; G06N3/08
Domestic Patent References:
WO2019125026A12019-06-27
WO2019039887A12019-02-28
Foreign References:
JP2015073901A2015-04-20
KR20190105220A2019-09-16
KR20190071724A2019-06-24
US20180192983A12018-07-12
Other References:
GHOSHHAJRA BRIAN B.; TAKX RICHARD A.; STONE LUKE L.; GIRARD ERIN E.; BRILAKIS EMMANOUIL S.; LOMBARDI WILLIAM L.; YEH ROBERT W.; JA: "Real-time fusion of coronary CT angiography with x-ray fluoroscopy during chronic total occlusion PCI", EUROPEAN RADIOLOGY, vol. 27, no. 6, 23 September 2016 (2016-09-23), pages 2464 - 2473, XP036222493, ISSN: 0938-7994, DOI: 10.1007/s00330-016-4599-5
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