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Title:
DENTAL IMAGE ANALYSIS METHOD AND DEVICE USING SAME FOR ORTHODONTIC DIAGNOSIS
Document Type and Number:
WIPO Patent Application WO/2020/040349
Kind Code:
A1
Abstract:
Provided are a dental image analysis method and a device using same for orthodontic diagnosis, according to an embodiment of the present invention. The method comprises the steps of: obtaining a dental image of an examinee; and detecting at least a part of a plurality of landmarks for orthodontic diagnosis by using a landmark detection module from the dental image, wherein the landmark is an anatomical reference point that indicates the relative position of at least one of facial skeleton, teeth, and facial contours required for orthodontic diagnosis, and the landmark detection module may comprise a machine learning module on the basis of an artificial neural network.

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Inventors:
KIM HAN SUK (KR)
YU YEONG SUNG (KR)
LEE SHIN JAE (KR)
Application Number:
PCT/KR2018/011969
Publication Date:
February 27, 2020
Filing Date:
October 11, 2018
Export Citation:
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Assignee:
DDH INC (KR)
International Classes:
A61C7/00; A61B6/00; A61B6/14; G06N3/08
Foreign References:
KR101599219B12016-03-03
KR20170142572A2017-12-28
KR20170126669A2017-11-20
Other References:
ARIK, SERCAN O ET AL.: "Fully automated quantitative cephalometry using convolutional neural networks", JOURNAL OF MEDICAL IMAGING, vol. 4, no. 1, 2017, pages 014501-1 - 014501-11, XP055687226
LEE, HANSANG ET AL.: "Cephalometric landmark detection in dental x-ray images using convolutional neural networks", MEDICAL IMAGING 2017: COMPUTER-AIDED DIAGNOSI S., 2017, pages 101341W-1 - 101341W-6, XP060086612
See also references of EP 3842005A4
Attorney, Agent or Firm:
HAEUM PATENT & LAW FIRM (KR)
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