The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A method for normalizing histology slides for quantitative analysis
Abstract
Inconsistencies in the preparation of histology slides make it difficult to perform quantitative analysis on their results. In this paper we provide two mechanisms for overcoming many of the known inconsistencies in the staining process, thereby bringing slides that were processed or stored under very different conditions into a common, normalized space to enable improved quantitative analysis.
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“These typically fall into one of two categories: data augmentation methods that perturb the colors in the training images (e.g., Liu et al. (2017); Bug et al. (2017); Tellez et al. (2018)) or stain normalization methods that seek to standardize colors across training images (e.g., Macenko et al. (2009); BenTaieb and Hamarneh (2017)).”
From WILDS: A Benchmark of in-the-Wild Distribution Shifts (2020) · cites this paper as Macenko et al. (2009)
Citations
Cites
A RAPID AND PRECISE METHOD FOR THE DETERMINATION OF UREA
Fawcett, J. K., & Scott, J. E. (1960) · Journal of Clinical Pathology · doi:10.1136/jcp.13.2.156 · Cited by 2,807
Quantification of histochemical staining by color deconvolution.
Ruifrok, A. C. C., & Johnston, D. A. (2001) · PubMed · Cited by 2,029
Improving Melanoma Classification by Integrating Genetic and Morphologic Features
Virós, A., Fridlyand, J., Bauer, J. M., Lasithiotakis, K., Garbe, C., Pinkel, D., & Bastian, B. C. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050120 · Cited by 383
Distance-Weighted Discrimination
Marron, J. S., Todd, M. J., & Ahn, J. (2007) · Journal of the American Statistical Association · doi:10.1198/016214507000001120 · Cited by 332
Self-citationRuifrok, A. C. C., Katz, R. L., & Johnston, D. A. (2003) · Applied immunohistochemistry & molecular morphology · doi:10.1097/00129039-200303000-00014 · Cited by 165
Unsupervised Color Decomposition of Histologically Stained Tissue Samples
Rabinovich, A., Laris, C. A., Qdm Inc, Agarwal, S., Price, J. H., & Belongie, S. (2003) · Cited by 118
A Framework for the Automated Analysis of Subcellular Patterns in Human Protein Atlas Images
Newberg, J. Y., & Murphy, R. F. (2008) · Journal of Proteome Research · doi:10.1021/pr7007626 · Cited by 105
Factors to keep in mind when introducing virtual microscopy
Glatz‐Krieger, K., Spornitz, U. M., Spatz, A., Mihatsch, M. J., & Glatz, D. (2005) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-005-0112-2 · Cited by 73
Spectral Imaging and Pathology: Seeing More
Levenson, R. M. (2004) · Laboratory Medicine · doi:10.1309/krnf-wqqe-uplq-l76l · Cited by 37
Ljungberg, A., & Johansson, O. (1993) · The Histochemical Journal · doi:10.1007/bf00211769 · Cited by 37
Research works printed but not linked: 1
- 10.1309/KRNFWQQEUPLQL76L · DOI
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Items 1,001–1,001 of 1,001
Image Analysis: Understanding and Mitigating Batch Effects in Histopathology
Gindra, R. H., Boushehri, S. S., Wagner, S. J., Tran, M., Winter, D. J. E., Schnabel, J. A., Saur, D., Marr, C., & Peng, T. (2025) · Trillium Pathology · doi:10.47184/tp.2025.01.03 · Cited by 2
Metadata
- Authors
- Macenko, M., Niethammer, M., Marron, J. S., Borland, D., Woosley, J. T., Guan, X., Schmitt, C., & Thomas, N. E.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- ORCID
- Venue
- 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
- Publisher
- IEEE
- Published
- 2009-06
- Pages
- 1107-1110
- OpenAlex
- W2132162500
- Cited by
- 1,482
- References
- 10
- Citations by year
- 2026: 170 · 2025: 198 · 2024: 208 · 2023: 182 · 2022: 190 · 2021: 149 · 2020: 114 · 2019: 91 · 2018: 57 · 2017: 41 · 2016: 28 · 2015: 21 · 2014: 14 · 2013: 6 · 2012: 5
- FWCI
- 2.81
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Symposium on Biomedical Imaging (ISBI) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Imaging for Blood Diseases
- Keywords
- quantitative histology, image normalization, histological image analysis
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