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

https://doi.org/10.1038/srep42964
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Automatic Nonsubjective Estimation of Antigen Content Visualized by Immunohistochemistry Using Color Deconvolution
inferredcites →https://doi.org/10.1109/embc.2015.7320184openalex-snapshot
High-throughput analysis of tissue-based biomarkers in digital pathology
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A method for normalizing histology slides for quantitative analysis
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Automatic batch-invariant color segmentation of histological cancer images
inferredcites →https://doi.org/10.1109/isbi.2016.7493386openalex-snapshot
Image normalization for quantitative immunohistochemistry in digital pathology
inferredcites →https://doi.org/10.1109/isbi.2016.7493388openalex-snapshot
Stain deconvolution of histology images via independent component analysis in the wavelet domain
inferredcites →https://doi.org/10.1109/tbme.2014.2303294openalex-snapshot
A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution
inferredcites →https://doi.org/10.1109/tbme.2015.2405791openalex-snapshot
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inferredcites →https://doi.org/10.1109/tmi.2015.2476509openalex-snapshot
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inferredcites →https://doi.org/10.1111/j.1365-2559.2006.02513.xopenalex-snapshot
Quantification of immunohistochemistry—issues concerning methods, utility and semiquantitative assessment II
inferredcites →https://doi.org/10.1177/002215540305100209openalex-snapshot
Quantitative Immunohistochemistry by Measuring Cumulative Signal Strength Accurately Measures Receptor Number
inferredcites →https://doi.org/10.1177/44.9.8773563openalex-snapshot
Immunocytochemical detection of regional protein changes in rat brain sections using computer-assisted image analysis.

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