Unsupervised color normalisation for H and E stained histopathology image analysis

Raúl Celis; Eduardo Romero

doi:10.1117/12.2211536

22 December 2015 Unsupervised color normalisation for H and E stained histopathology image analysis

Raúl Celis, Eduardo Romero

Proceedings Volume 9681, 11th International Symposium on Medical Information Processing and Analysis; 968104 (2015) https://doi.org/10.1117/12.2211536
Event: 11th International Symposium on Medical Information Processing and Analysis (SIPAIM 2015), 2015, Cuenca, Ecuador

Abstract

In histology, each dye component attempts to specifically characterise different microscopic structures. In the case of the Hematoxylin-Eosin (H&E) stain, universally used for routine examination, quantitative analysis may often require the inspection of different morphological signatures related mainly to nuclei patterns, but also to stroma distribution. Nevertheless, computer systems for automatic diagnosis are often fraught by color variations ranging from the capturing device to the laboratory specific staining protocol and stains. This paper presents a novel colour normalisation method for H&E stained histopathology images. This method is based upon the opponent process theory and blindly estimates the best color basis for the Hematoxylin and Eosin stains without relying on prior knowledge. Stain Normalisation and Color Separation are transversal to any Framework of Histopathology Image Analysis.

Citation Download Citation

Raúl Celis and Eduardo Romero "Unsupervised color normalisation for H and E stained histopathology image analysis", Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 968104 (22 December 2015); https://doi.org/10.1117/12.2211536

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