Correction to "Data augmentation based semi-supervised method to improve COVID-19 CT classification" [<i>Mathematical Biosciences and Engineering</i> 20(4) (2023) 6838–6852]

2024, Volume 21, Issue 12: 7854-7855. doi: 10.3934/mbe.2024345

Previous Article Next Article

Correction

Correction to "Data augmentation based semi-supervised method to improve COVID-19 CT classification" [Mathematical Biosciences and Engineering 20(4) (2023) 6838–6852]

1.
College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, Hunan, China
2.
College of Computer Science and Engineering, Hunan Institute of Technology, Hengyang 421002, China
Correction of: Mathematical Biosciences and Engineering 20: 6838-6852.

Received: 26 November 2024 Accepted: 05 December 2024 Published: 13 December 2024

Citation: Xiangtao Chen, Yuting Bai, Peng Wang, Jiawei Luo. Correction to 'Data augmentation based semi-supervised method to improve COVID-19 CT classification' [Mathematical Biosciences and Engineering 20(4) (2023) 6838–6852][J]. Mathematical Biosciences and Engineering, 2024, 21(12): 7854-7855. doi: 10.3934/mbe.2024345

Related Papers:

[1]	X. Chen, Y. Bai, P. Wang, J. Luo, Data augmentation based semi-supervised method to improve COVID-19 CT classification, Math. Biosci. Eng., 20 (2023), 6838–6852. https://doi.org/10.3934/mbe.2023294 doi: 10.3934/mbe.2023294

Reader Comments

Your name:*

Email:*
© 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)