ArticlePloS one2017
Stain Deconvolution Using Statistical Analysis of Multi-Resolution Stain Colour Representation.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Bridging traditional and deep learning methods in H&E histological image normalization: a comprehensive review and introducing a novel framework for comparative analyses.Journal of advanced research · 2026Review
- Label-Efficient Deep Color Deconvolution of Brightfield Multiplex IHC Images.IEEE transactions on medical imaging · 2026Article
- Computational workflows for natural and biomedical image processing based on hypercomplex algebras.Patterns (New York, N.Y.) · 2025Article
- NLTD 2.0: A Nonlinear Framework for Robust and Customizable Color Deconvolution in Histopathology.bioRxiv : the preprint server for biology · 2025Article
- Oncogenic ETS fusions promote DNA damage and proinflammatory responses via pericentromeric RNAs in extracellular vesicles.The Journal of clinical investigation · 2024Article
- A Robust Method for the Unsupervised Scoring of Immunohistochemical Staining.Entropy (Basel, Switzerland) · 2024Article
- Article
- Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images.Proceedings of machine learning research · 2023Article
- Enhanced Pathology Image Quality with Restore-Generative Adversarial Network.The American journal of pathology · 2023Article
- Deep learning-based framework for slide-based histopathological image analysis.Scientific reports · 2022Article
- Automated annotations of epithelial cells and stroma in hematoxylin-eosin-stained whole-slide images using cytokeratin re-staining.The journal of pathology. Clinical research · 2022Article
- Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022Article
- Breast histopathological image analysis using image processing techniques for diagnostic puposes: A methodological review.Journal of medical systems · 2021Review
- Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning.Sensors (Basel, Switzerland) · 2021Article
- Quantitative and Semi-quantitative Methods for Assessing the Degree of Methylene Blue Staining in Sentinel Lymph Nodes in Dogs.Frontiers in veterinary science · 2021Article
- Deep Learning of Histopathology Images at the Single Cell Level.Frontiers in artificial intelligence · 2021Review
- Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer.Cancer research · 2020Article
- Cell Nuclei Segmentation in Cytological Images Using Convolutional Neural Network and Seeded Watershed Algorithm.Journal of digital imaging · 2020Article
- Review
- Fusion in Breast Cancer Histology Classification.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.