Evaluation of Colour Pre-processing on Patch-Based Classification of H&E-Stained Images

Bianconi, F., Kather, J. & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2019). Evaluation of Colour Pre-processing on Patch-Based Classification of H&E-Stained Images. In: Digital Pathology. ECDP 2019. Lecture Notes in Computer Science, 11435. (pp. 56-64). Cham: Springer. ISBN 978-3-030-23936-7 doi: 10.1007/978-3-030-23937-4_7

Abstract

This paper compares the effects of colour pre-processing on the classification performance of H&E-stained images. Variations in the tissue preparation procedures, acquisition systems, stain conditions and reagents are all source of artifacts that can affect negatively computer-based classification. Pre-processing methods such as colour constancy, transfer and deconvolution have been proposed to compensate the artifacts. In this paper we compare quantitatively the combined effect of six colour pre-processing procedures and 12 colour texture descriptors on patch-based classification of H&E-stained images. We found that colour pre-processing had negative effects on accuracy in most cases – particularly when used with colour descriptors. However, some pre-processing procedures proved beneficial when employed in conjunction with classic texture descriptors such as co-occurrence matrices, Gabor filters and Local Binary Patterns.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	The final authenticated publication is available online at https://doi.org/10.1007/978-3-030-23937-4_7.
Publisher Keywords:	Colour, Histology, Hematoxylin, Eosin, Texture
Departments:	School of Science & Technology > Computer Science > giCentre School of Science & Technology > Engineering