This article is a correction to:
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder
Ao Cheng
Jiahao Shi2
Ruobing Zhang- 1School of Electronic and Information Engineering, Soochow University, Suzhou, China
- 2Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
- 3Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
A corrigendum on
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder
by Cheng, A., Shi, J., Wang, L., and Zhang, R. (2023). Front. Neuroinform. 17:1118419. doi: 10.3389/fninf.2023.1118419
In the published article, there was an error in the Acknowledgements section. We erroneously excluded contributions to this article from those who prepared the samples.
A correction has been made to the Acknowledgements section.
The corrected sentence appears below:
“We would like to thank Dingsan Luo and Renzheng Liu of the Jiangsu Key Laboratory of Medical Optics at the Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, for their meticulous preparation of the mouse corpus callosum samples. We also would like to thank the Hanhua Lab from the Institute of Automation, Chinese Academy of Sciences for the corpus callosum SEM data.”
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: neural segmentation, SEM image, masked autoencoder, image segmentation, self-supervised learning
Citation: Cheng A, Shi J, Wang L and Zhang R (2023) Corrigendum: Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder. Front. Neuroinform. 17:1337766. doi: 10.3389/fninf.2023.1337766
Received: 13 November 2023; Accepted: 14 November 2023;
Published: 27 November 2023.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2023 Cheng, Shi, Wang and Zhang. 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: Lirong Wang, wanglirong@suda.edu.cn; Ruobing Zhang, zhangrb@sibet.ac.cn