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. 2025 Dec 29;20(12):e0339426. doi: 10.1371/journal.pone.0339426

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

The PLOS One Staff
PMCID: PMC12747367  PMID: 41460752

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.

(PDF)

pone.0339426.s001.pdf (14MB, pdf)
S2 File. Republished, corrected article.

(PDF)

pone.0339426.s002.pdf (14.1MB, pdf)

Reference

  • 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. doi: 10.1371/journal.pone.0322749 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 File. Originally published, uncorrected article.

(PDF)

pone.0339426.s001.pdf (14MB, pdf)
S2 File. Republished, corrected article.

(PDF)

pone.0339426.s002.pdf (14.1MB, pdf)

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