Title:
TRAINING DATA GENERATION METHOD, COMPUTER PROGRAM, AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/229384
Kind Code:
A1
Abstract:
A training data generation method performed by a computing device including at least one processor according to an embodiment of the present disclosure comprises the steps of: generating a random noise corresponding to a noise of an input image; generating a first noise and a second noise on the basis of the random noise; and generating a first image on the basis of the input image and the first noise, and generating a second image on the basis of the input image and the second noise, wherein the first image and the second image are independent of each other regarding noise.
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Inventors:
JEONG KEUNWOO (KR)
Application Number:
PCT/KR2023/007108
Publication Date:
November 30, 2023
Filing Date:
May 24, 2023
Export Citation:
Assignee:
AIRS MEDICAL INC (KR)
International Classes:
G16H30/40; A61B5/055; G06N3/042; G06N3/08; G16H30/20
Foreign References:
| KR102513218B1 | 2023-04-25 |
Other References:
DESAI ARJUN D, OZTURKLER BATU M, SANDINO CHRISTOPHER M, BOUTIN ROBERT, WILLIS MARC, VASANAWALA SHREYAS, HARGREAVES BRIAN A, RÉ CHR: "Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning", ARXIV (CORNELL UNIVERSITY), CORNELL UNIVERSITY LIBRARY, ARXIV.ORG, ITHACA, 7 October 2022 (2022-10-07), Ithaca, XP093111651, [retrieved on 20231213], DOI: 10.48550/arxiv.2110.00075
VARADARAJAN DIVYA; HALDAR JUSTIN P.: "A Majorize-Minimize Framework for Rician and Non-Central Chi MR Images", IEEE TRANSACTIONS ON MEDICAL IMAGING, IEEE, USA, vol. 34, no. 10, 1 October 2015 (2015-10-01), USA, pages 2191 - 2202, XP011670407, ISSN: 0278-0062, DOI: 10.1109/TMI.2015.2427157
TIAN QIYUAN; LI ZIYU; FAN QIUYUN; POLIMENI JONATHAN R.; BILGIC BERKIN; SALAT DAVID H.; HUANG SUSIE Y.: "SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI", NEUROIMAGE, ELSEVIER, AMSTERDAM, NL, vol. 253, 1 March 2022 (2022-03-01), AMSTERDAM, NL , XP087022574, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2022.119033
SONG HWANJUN, KIM MINSEOK, PARK DONGMIN, SHIN YOOJU, LEE JAE-GIL: "Learning From Noisy Labels With Deep Neural Networks: A Survey", IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, IEEE, USA, vol. 34, no. 11, 1 November 2023 (2023-11-01), USA, pages 8135 - 8153, XP093111654, ISSN: 2162-237X, DOI: 10.1109/TNNLS.2022.3152527
VARADARAJAN DIVYA; HALDAR JUSTIN P.: "A Majorize-Minimize Framework for Rician and Non-Central Chi MR Images", IEEE TRANSACTIONS ON MEDICAL IMAGING, IEEE, USA, vol. 34, no. 10, 1 October 2015 (2015-10-01), USA, pages 2191 - 2202, XP011670407, ISSN: 0278-0062, DOI: 10.1109/TMI.2015.2427157
TIAN QIYUAN; LI ZIYU; FAN QIUYUN; POLIMENI JONATHAN R.; BILGIC BERKIN; SALAT DAVID H.; HUANG SUSIE Y.: "SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI", NEUROIMAGE, ELSEVIER, AMSTERDAM, NL, vol. 253, 1 March 2022 (2022-03-01), AMSTERDAM, NL , XP087022574, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2022.119033
SONG HWANJUN, KIM MINSEOK, PARK DONGMIN, SHIN YOOJU, LEE JAE-GIL: "Learning From Noisy Labels With Deep Neural Networks: A Survey", IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, IEEE, USA, vol. 34, no. 11, 1 November 2023 (2023-11-01), USA, pages 8135 - 8153, XP093111654, ISSN: 2162-237X, DOI: 10.1109/TNNLS.2022.3152527
Attorney, Agent or Firm:
BEATBOARD IP LAW FIRM (KR)
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