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Pae Sun Suh1†
Wooseok Jung2†
Chong Hyun Suh1*
Jinyoung Kim2
Jio Oh2Hwon Heo1Woo Hyun Shim1Jae-Sung Lim3Jae-Hong Lee3
Ho Sung Kim1
Sang Joon Kim1- 1Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- 2R&D Center, VUNO, Seoul, Republic of Korea
- 3Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
Suh, P. S., Jung, W., Suh, C. H., Kim, J., Oh, J., Heo, H., Shim, W. H., Lim, J.-S., Lee, J.-H., Kim, H. S., and Kim, S. J. (2023). Front. Neurol. 14:1221892. doi: 10.3389/fneur.2023.1221892
In the published article, there was an error in affiliation 1 and 3. Instead of “1Department of Radiology, Asan Medical Center, Seoul, Republic of Korea; 3Department of Neurology, Asan Medical Center, College of Medicine, University of Ulsan, Ulsan, Republic of Korea”, it should be “1Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; 3Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea”.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: deep learning, artificial intelligence, brain, intracranial volume segmentation, neurodegenerative disease
Citation: Suh PS, Jung W, Suh CH, Kim J, Oh J, Heo H, Shim WH, Lim J-S, Lee J-H, Kim HS and Kim SJ (2023) Corrigendum: Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg. Front. Neurol. 14:1334962. doi: 10.3389/fneur.2023.1334962
Received: 08 November 2023; Accepted: 10 November 2023;
Published: 29 November 2023.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2023 Suh, Jung, Suh, Kim, Oh, Heo, Shim, Lim, Lee, Kim and Kim. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Chong Hyun Suh, Y2hvbmdoeXVuc3VoQGFtYy5zZW91bC5rcg==
†These authors have contributed equally to this work