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Patent Searching and Data


Title:
DEVICE AND METHOD FOR SUPPORTING BIOMETRIC IMAGE FINDING/DIAGNOSIS
Document Type and Number:
WIPO Patent Application WO/2022/158727
Kind Code:
A1
Abstract:
Provided are a device, a method, and a system for supporting biometric image finding/diagnosis, the device comprising: a processor; and a memory including one or more instructions implemented to be executed by the processor, wherein the processor: extracts first attribute information from a first biometric image of an object on the basis of a machine learning model; changes the first attribute information of the first biometric image by mapping adversarial noise to the first biometric image, so as to generate a second biometric image having second attribute information; and displays the first biometric image having the first attribute information and the second biometric image having the second attribute information on a display unit.

Inventors:
PARK SANG MIN (KR)
Application Number:
PCT/KR2021/019356
Publication Date:
July 28, 2022
Filing Date:
December 20, 2021
Export Citation:
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Assignee:
XAIMED CO LTD (KR)
International Classes:
G16H30/40; A61B3/00; A61B3/12; G06N3/08; G06N20/00; G06T3/40; G06T5/00; G16H30/20; G16H50/50; G16H50/70
Foreign References:
KR20200005407A2020-01-15
KR20190087272A2019-07-24
JP2017077414A2017-04-27
KR101848321B12018-04-20
KR20210096737A2021-08-06
Other References:
CHANG JOOYOUNG; LEE JINHO; HA AHNUL; HAN YOUNG SOO; BAK EUNOO; CHOI SEULGGIE; YUN JAE MOON; KANG UK; SHIN IL HYUNG; SHIN JOO YOUNG: "Explaining the Rationale of Deep Learning Glaucoma Decisions with Adversarial Examples", OPHTHALMOLOGY, ELSEVIER, AMSTERDAM, NL, vol. 128, no. 1, 26 June 2020 (2020-06-26), AMSTERDAM, NL, pages 78 - 88, XP086415074, ISSN: 0161-6420, DOI: 10.1016/j.ophtha.2020.06.036
Attorney, Agent or Firm:
PARK, Kil Hwan et al. (KR)
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