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Title:
DEVICE AND METHOD FOR RESTORING DIGITAL PATHOLOGY STAINING BY USING GAN
Document Type and Number:
WIPO Patent Application WO/2023/224302
Kind Code:
A1
Abstract:
The present invention proposes a device and method for restoring digital pathology staining by using a GAN. The device comprises: a generation network for generating similar false data on the basis of original data which is actual learning data; and a determination network for using and learning the false data generated from the generation network, and original data which is actual learning data and determining whether data input thereto is the actual learning data or the false data. Therefore, among staining data produced currently, data that is unusable due to loss of staining can be digitally restored to its original state.

Inventors:
LEE JONG-HA (KR)
HWANG SEOK MIN (KR)
Application Number:
PCT/KR2023/006259
Publication Date:
November 23, 2023
Filing Date:
May 09, 2023
Export Citation:
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Assignee:
UNIV KEIMYUNG IACF (KR)
International Classes:
G16H50/20; G01N1/30; G01N21/78; G06N3/04; G06N3/08; G16H30/20
Foreign References:
KR20200094938A2020-08-10
US20210043331A12021-02-11
Other References:
SAJEEDA AFIA, HOSSAIN B M MAINUL: "Exploring generative adversarial networks and adversarial training", INTERNATIONAL JOURNAL OF COGNITIVE COMPUTING IN ENGINEERING, vol. 3, 1 June 2022 (2022-06-01), pages 78 - 89, XP093109003, ISSN: 2666-3074, DOI: 10.1016/j.ijcce.2022.03.002
JOSE LAYA, LIU SIDONG, RUSSO CARLO, NADORT ANNEMARIE, DI IEVA ANTONIO: "Generative Adversarial Networks in Digital Pathology and Histopathological Image Processing: A Review", JOURNAL OF PATHOLOGY INFORMATICS, MEDKNOW PUBLICATIONS AND MEDIA PVT. LTD., IN, vol. 12, no. 1, 1 January 2021 (2021-01-01), IN , pages 43, XP093109005, ISSN: 2153-3539, DOI: 10.4103/jpi.jpi_103_20
NESLIHAN BAYRAMOGLU, KAAKINEN MIKA, EKLUND LAURI, HEIKKILA JANNE: "Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks", 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), IEEE, VENICE, IT, 22 October 2017 (2017-10-22) - 29 October 2017 (2017-10-29), Venice, IT , pages 64 - 71, XP055497287, ISBN: 978-1-5386-1034-3, DOI: 10.1109/ICCVW.2017.15
Attorney, Agent or Firm:
KIM, Keon Woo (KR)
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