Literature DB >> 24897076

A review on color normalization and color deconvolution methods in histopathology.

Devrim Onder1, Selen Zengin, Sulen Sarioglu.   

Abstract

The histopathologists get the benefits of wide range of colored dyes to have much useful information about the lesions and the tissue compositions. Despite its advantages, the staining process comes up with quite complex variations in staining concentrations and correlations, tissue fixation types, and fixation time periods. Together with the improvements in computing power and with the development of novel image analysis methods, these imperfections have led to the emerging of several color normalization algorithms. This article is a review of the currently available digital color normalization methods for the bright field histopathology. We describe the proposed color normalization methodologies in detail together with the lesion and tissue types used in the corresponding experiments. We also present the quantitative validation approaches for each of the proposed methodology where available.

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Year:  2014        PMID: 24897076     DOI: 10.1097/PAI.0000000000000003

Source DB:  PubMed          Journal:  Appl Immunohistochem Mol Morphol        ISSN: 1533-4058


  6 in total

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2.  Image processing in digital pathology: an opportunity to solve inter-batch variability of immunohistochemical staining.

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3.  Capillary networks and follicular marginal zones in human spleens. Three-dimensional models based on immunostained serial sections.

Authors:  Birte S Steiniger; Christine Ulrich; Moritz Berthold; Michael Guthe; Oleg Lobachev
Journal:  PLoS One       Date:  2018-02-08       Impact factor: 3.240

4.  Novel chromaticity similarity based color texture descriptor for digital pathology image analysis.

Authors:  Xingyu Li; Konstantinos N Plataniotis
Journal:  PLoS One       Date:  2018-11-12       Impact factor: 3.240

5.  In Silico Approach for Immunohistochemical Evaluation of a Cytoplasmic Marker in Breast Cancer.

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Review 6.  Breast histopathological image analysis using image processing techniques for diagnostic puposes: A methodological review.

Authors:  R Rashmi; Keerthana Prasad; Chethana Babu K Udupa
Journal:  J Med Syst       Date:  2021-12-03       Impact factor: 4.460

  6 in total

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