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Patent Searching and Data


Title:
METHOD, PROGRAM, AND DEVICE FOR PROCESSING MEDICAL DATA FOR TRAINING OF DEEP LEARNING MODEL
Document Type and Number:
WIPO Patent Application WO/2023/249372
Kind Code:
A1
Abstract:
Disclosed are a method, a program, and a device for processing medical data for training of a deep learning model, the method being performed by a computing device, according to an embodiment of the present disclosure. The method may comprise the steps of: separating K-space data into a plurality of different pieces of data, in consideration of the characteristic of metadata of the K-space data; and combining the plurality of different pieces of data separated from the K-space data, so as to generate input data and label data for training of the deep learning model.

Inventors:
KIM HYEONSOO (KR)
YANG JONYOUNG (KR)
Application Number:
PCT/KR2023/008528
Publication Date:
December 28, 2023
Filing Date:
June 20, 2023
Export Citation:
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Assignee:
AIRS MEDICAL INC (KR)
International Classes:
G16H30/40; A61B5/055; G06N3/04; G06N3/08; G16H30/20
Foreign References:
KR20220082302A2022-06-17
KR102199494B12021-01-06
Other References:
RAMANARAYANAN SRIPRABHA, MURUGESAN BALAMURALI, KEERTHI RAM, SIVAPRAKASAM MOHANASANKAR: "MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction", ARXIV (CORNELL UNIVERSITY), CORNELL UNIVERSITY LIBRARY, ARXIV.ORG, ITHACA, 9 November 2021 (2021-11-09), Ithaca, XP093118680, [retrieved on 20240112], DOI: 10.48550/arxiv.2111.05055
ZALAN FABIAN, HECKEL REINHARD, SOLTANOLKOTABI MAHDI: "Data augmentation for deep learning based accelerated MRI reconstruction with limited data", ICONFERENCE, ASSOCIATION FOR COMPUTING MACHINERY NEW YORK, NY, UNITED STATES, vol. 139, 28 June 2021 (2021-06-28), pages 3057 - 3067, XP093118686, ISSN: 2331-8422
OH CHANGHEUN, KIM DONGCHAN, CHUNG JUN‐YOUNG, HAN YEJI, PARK HYUNWOOK: "A k‐space‐to‐image reconstruction network for MRI using recurrent neural network", MEDICAL PHYSICS., AIP, MELVILLE, NY., US, vol. 48, no. 1, 1 January 2021 (2021-01-01), US , pages 193 - 203, XP093118690, ISSN: 0094-2405, DOI: 10.1002/mp.14566
Attorney, Agent or Firm:
BEATBOARD IP LAW FIRM (KR)
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