Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach

Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K Katsaggelos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Whole-slide histological images are routinely used by medical doctors in diagnosis. Most of these images are stained with the very common and inexpensive hematoxylin and eosin dyes. Slide stain separation and color normalization are crucial steps within the digital pathology workflow which require a previous color deconvolution step. This image processing task is not easy, especially when working with images taken from different microscopes and slides stained in different laboratories. In this paper, based on Variational Bayes inference, an efficient new blind color deconvolution method is proposed. The new model takes into account both spatial relations among image pixels and similarity to a given reference color-vector matrix. A comparison with classical and current state-of-the-art color deconvolution algorithms, using real images with known ground truth hematoxylin and eosin values, has been carried out. This comparison has demonstrated the superiority of the proposed approach.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PublisherIEEE Computer Society
Pages983-987
Number of pages5
ISBN (Electronic)9781479970612
DOIs
StatePublished - Aug 29 2018
Event25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
Duration: Oct 7 2018Oct 10 2018

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference25th IEEE International Conference on Image Processing, ICIP 2018
CountryGreece
CityAthens
Period10/7/1810/10/18

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Keywords

  • Blind color deconvolution
  • Histopathological images
  • Variational Bayesian approach

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Hidalgo-Gavira, N., Mateos, J., Vega, M., Molina, R., & Katsaggelos, A. K. (2018). Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach. In 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings (pp. 983-987). [8451314] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2018.8451314