<p>Deep learning model for the prognostic prediction of acute inflammation of the central nervous system using T2-weighted brain magnetic resonance imaging</p>

Bo Kyu Choi; Jaehyeok Jang; Yoonhyeok Choi; Kyung Min Kim; Yu Rang Park

doi:10.7490/f1000research.1120030.1

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Choi BK, Jang J, Choi Y et al. Deep learning model for the prognostic prediction of acute inflammation of the central nervous system using T2-weighted brain magnetic resonance imaging [version 1; not peer reviewed]. F1000Research 2024, 13:1444 (poster) (https://doi.org/10.7490/f1000research.1120030.1)

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Deep learning model for the prognostic prediction of acute inflammation of the central nervous system using T2-weighted brain magnetic resonance imaging

Bo Kyu Choi, Jaehyeok Jang, Yoonhyeok Choi, Kyung Min Kim, Yu Rang Park¹

Published 28 Nov 2024 (https://doi.org/10.7490/f1000research.1120030.1)

Author Affiliations

¹ Department of Biomedical Systems Informatics, Yonsei University, Seodaemun-gu, Seoul, South Korea

Copyright © 2024 Choi BK et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 28 Nov 2024

Deep learning model for the prognostic prediction of acute inflammation of the central nervous system using T2-weighted brain magnetic resonance imaging
[version 1; not peer reviewed]

Bo Kyu Choi, Jaehyeok Jang, Yoonhyeok Choi, Kyung Min Kim, Yu Rang Park¹

Author Affiliations

¹ Department of Biomedical Systems Informatics, Yonsei University, Seodaemun-gu, Seoul, South Korea

Presented at

Pacific Symposium on Biocomputing (PSB) 2025

Abstract

Competing Interests

This study was supported by the Hyundai Motor Chung Mong-Koo Foundation.

Keywords

Deep learning model, acute inflammation of the central nervous system

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