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Open Access

Correction

Correction: Nuclei Segmentation and Classification from Histopathology Images using Federated Learning for End-Edge Platform

  • The PLOS One Staff

Notice of Republication

This article was republished on December 3, 2025, to correct the figures which were out of order. The order has now been corrected. 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.0339426.s001

(PDF)

S2 File. Republished, corrected article.

https://doi.org/10.1371/journal.pone.0339426.s002

(PDF)

Reference

  1. 1. Chowdhury AA, Mahmud SMH, Uddin MP, Kadry S, Kim J-Y, Nam Y. Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform. PLoS One. 2025;20(7):e0322749. pmid:40638627

Citation: The PLOS One Staff (2025) Correction: Nuclei Segmentation and Classification from Histopathology Images using Federated Learning for End-Edge Platform. PLoS One 20(12): e0339426. https://doi.org/10.1371/journal.pone.0339426

Published: December 29, 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.