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CORRECTION article

Front. Neuroinform., 27 November 2023
Volume 17 - 2023 | https://doi.org/10.3389/fninf.2023.1337766

Corrigendum: Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder

This article is a correction to:

  1. Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder

    1. Read original article
\r\nAo Cheng,Ao Cheng1,2Jiahao ShiJiahao Shi2Lirong Wang, Lirong Wang1,2*Ruobing Zhang, Ruobing Zhang2,3*
  • 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.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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, Switzerland

Copyright © 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, d2FuZ2xpcm9uZyYjeDAwMDQwO3N1ZGEuZWR1LmNu; Ruobing Zhang, emhhbmdyYiYjeDAwMDQwO3NpYmV0LmFjLmNu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.