Structure-preserved color normalization for histological images

Vahadane A, Peng T, Albarqouni S, Baust M, Steiger K, Schlitter AM, Sethi A, Esposito I, Navab N (2015)

Publication Type: Conference contribution

Publication year: 2015

Journal

Proceedings - International Symposium on Biomedical Imaging

Publisher: IEEE Computer Society

Book Volume: 2015-July

Pages Range: 1012-1015

Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging

Event location: Brooklyn, NY, USA

ISBN: 9781479923748

DOI: 10.1109/ISBI.2015.7164042

Abstract

Automated image processing and quantification are increasingly gaining attention in the field of digital pathology. However, a common problem that encumbers computerized analysis is the color variation in histology, due to the use of different microscopes/scanners, or inconsistencies in tissue preparation. In this paper, we present a novel color normalization technique to bring a histological image (source image) into a different color appearance of a second image (target image), which therefore standardizes the color representation of both images. In particular, by incorporating biological stain-sparse regularized stain separation, our color normalization technique preserves the structural information of the source image after color normalization, which is very important for subsequent image analysis. Both qualitative and quantitative validation demonstrates the superior performance of our stain separation and color normalization techniques.

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) Indian Institute of Technology Guwahati IN India (IN)

How to cite

APA:

Vahadane, A., Peng, T., Albarqouni, S., Baust, M., Steiger, K., Schlitter, A.M.,... Navab, N. (2015). Structure-preserved color normalization for histological images. In Proceedings - International Symposium on Biomedical Imaging (pp. 1012-1015). Brooklyn, NY, USA: IEEE Computer Society.

MLA:

Vahadane, Abhishek, et al. "Structure-preserved color normalization for histological images." Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, NY, USA IEEE Computer Society, 2015. 1012-1015.

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