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Open Access

Correction

Correction: An explainable ensemble approach for advanced brain tumor classification applying Dual-GAN mechanism and feature extraction techniques over highly imbalanced data

  • The PLOS One Staff

Notice of Republication

This article was republished on May 5, 2025, to correct errors in the formatting of the Figures and Tables that were introduced during the typesetting process. The publisher apologizes for the errors. Please download this article again to view the correct version. The originally published, uncorrected article and the republished, corrected articles are provided here for reference.

Supporting information

S1 File. Originally published, uncorrected article.

https://doi.org/10.1371/journal.pone.0324970.s001

(PDF)

S2 File. Republished, corrected article.

https://doi.org/10.1371/journal.pone.0324970.s002

(PDF)

Reference

  1. 1. Roy P, Srijon FMS, Bhowmik P. An explainable ensemble approach for advanced brain tumor classification applying Dual-GAN mechanism and feature extraction techniques over highly imbalanced data. PLoS One. 2024;19(9):e0310748. pmid:39331600

Citation: The PLOS One Staff (2025) Correction: An explainable ensemble approach for advanced brain tumor classification applying Dual-GAN mechanism and feature extraction techniques over highly imbalanced data. PLoS One 20(5): e0324970. https://doi.org/10.1371/journal.pone.0324970

Published: May 20, 2025

Copyright: © 2025 The PLOS One Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.