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Open Access

Correction

Correction: Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology

  • Nirmal Das,
  • Satadal Saha,
  • Mita Nasipuri,
  • Subhadip Basu,
  • Tapabrata Chakraborti

The Data Availability link for this paper is incorrect. The correct link is: https://github.com/dasnirmal/DeepFuzz

There is an error in affiliation 3 for author Satadal Saha. The correct affiliation 3 is: Department of Electronics and Communication Engineering, MCKV Institute of Engineering, Howrah, West Bengal, India

Reference

  1. 1. Das N, Saha S, Nasipuri M, Basu S, Chakraborti T. (2023) Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology. PloS ONE, 18(6): e0286862. https://doi.org/10.1371/journal.pone.0286862 pmid:37352172

Citation: Das N, Saha S, Nasipuri M, Basu S, Chakraborti T (2023) Correction: Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology. PLoS ONE 18(11): e0295111. https://doi.org/10.1371/journal.pone.0295111

Published: November 27, 2023

Copyright: © 2023 Das et al. 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.