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Color Normalization-Based Nuclei Detection in Images of Hematoxylin and Eosin-Stained Multi Organ Tissues

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Image Processing and Communications (IP&C 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1062))

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Abstract

This article presents an adaptation of a color transfer method for binarization of cell nuclei in Hematoxylin- and Eosin-stained microscopy images. The aim is to check the ability and accuracy of nuclei detection for multi-organ cases using a public dataset. The results are obtained using the Monte Carlo method and then compared to the ground truth segmentations. Some cases are presented in detail and discussed. This method seems to be promising for the further development of classic and deterministic algorithms for H&E nuclei detection.

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Acknowledgments

This research was funded by AGH University of Science and Technology as a research project No. 16.16.120.773.

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Authors and Affiliations

  1. Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, A. Mickiewicza 30 Av., 30–059, Cracow, Poland

    Adam Piórkowski

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  1. Adam Piórkowski
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Correspondence to Adam Piórkowski .

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Editors and Affiliations

  1. Institute of Telecommunications and Computer Science, University of Science and Technology (UTP), Bydgoszcz, Poland

    Michał Choraś

  2. Department of Telecommunications, Computer Sciences and Electrical Engineering, University of Science and Technology (UTP), Bydgoszcz, Poland

    Ryszard S. Choraś

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Piórkowski, A. (2020). Color Normalization-Based Nuclei Detection in Images of Hematoxylin and Eosin-Stained Multi Organ Tissues. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications. IP&C 2019. Advances in Intelligent Systems and Computing, vol 1062. Springer, Cham. https://doi.org/10.1007/978-3-030-31254-1_8

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