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Stain deconvolution using statistical analysis of multi-resolution stain colour representation

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Alsubaie, Najah, Trahearn, Nicholas, Raza, Shan-e-Ahmed, Snead, David and Rajpoot, Nasir M. (2017) Stain deconvolution using statistical analysis of multi-resolution stain colour representation. PLoS One, 12 (1). e0169875. doi:10.1371/journal.pone.0169875

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Official URL: http://dx.doi.org/10.1371/journal.pone.0169875

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Abstract

Stain colour estimation is a prominent factor of the analysis pipeline in most of histology image processing algorithms. Providing a reliable and efficient stain colour deconvolution approach is fundamental for robust algorithm. In this paper, we propose a novel method for stain colour deconvolution of histology images. This approach statistically analyses the multi-resolutional representation of the image to separate the independent observations out of the correlated ones. We then estimate the stain mixing matrix using filtered uncorrelated data. We conducted an extensive set of experiments to compare the proposed method to the recent state of the art methods and demonstrate the robustness of this approach using three different datasets of scanned slides, prepared in different labs using different scanners.

Item Type: Journal Article
Subjects: Q Science > QM Human anatomy
Divisions: Faculty of Medicine > Warwick Medical School > Biomedical Sciences
Faculty of Science > Computer Science
Faculty of Medicine > Warwick Medical School
Library of Congress Subject Headings (LCSH): Histology -- Technique, Diagnostic imaging
Journal or Publication Title: PLoS One
Publisher: Public Library of Science
ISSN: 1932-6203
Official Date: 11 January 2017
Dates:
DateEvent
11 January 2017Published
23 December 2016Accepted
11 August 2016Submitted
Volume: 12
Number: 1
Article Number: e0169875
DOI: 10.1371/journal.pone.0169875
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Funder: Saudi Arabia.‏ Wizārat al-Maʻārif‏ [Saudi Arabia.‏ Ministry of Education‏], Princess Nora bint Abdul Rahman University

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